URA Annals of the Institute of Statistical Mathematics Computer Science Monographs 182 Research Me

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3 URA Annals of the Institute of Statistical Mathematics Computer Science Monographs 182 Research Memorandum

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7 Zhi Geng Professor School of Mathematical Sciences, Peking University John Brian Copas Professor Department of Statistics, University of Warwick Nikolai Petrovich Dolbilin Leading Scientific Researcher Department of Geometry and Topology, Steklov Mathematical Institute, Russian Academy of Sciences Lutz Edler Michael I. Jordan Pehong Chen Distinguished Professor Department of Electrical Engineering and Computer Science (EECS), Department of Statistics, University of California, Berkeley Jae Chang Lee Professor Department of Statistics, Korea University Ker-Chau Li Director and Distinguished Research Fellow Institute of Statistical Science Academia Sinica Professor Statistics Department and Mathematics Department, UCLA Ashis SenGupta Head and Professor Applied Statistics Unit, Indian Statistical Institute David Vere-Jones Emeritus Professor School of Mathematics Statistics and Computing Science Victoria, University of Wellington Edward Wegman Professor Center for Computational Statistics, George Mason University Mike West The Arts & Sciences Professor of Statistical Science Department of Statistical Science, Duke University

8 IMI 1 Memorandum of Agreement MOA ISI-ISM-ISSAS Joint Conference 2017 Memorandum of Agreement MOA 5

9 Preferred Networks Wu Stephen 6

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12 Enescu, Bogdan Dumitru Lambard, Guillaume 9

13 ZIB Gretton, Arthur 10

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17 Preferred Networks

18 Enescu, Bogdan Dumitru Helmstteter, Agnes Institut des Sciences de la Terre

19 ZIB Gretton, Arthur Preferred Networks Van de Velden, Michel Erasmus University Rotterdam Yoshida, Ruriko University of Kentucky, Department of Statistics Shcherbakov, Robert University of Western Ontario Myrvoll, Tor Andre Wüthrich, Mario Valentin ETH Zurich Peters, Gareth William Hwang, Hsien-Kuei Academia Sinica, Institute of Statistical Science Doucet, Arnaud Septier, François Jean Michel Institut Mines-Télécom, Télécom Lille Surový, Peter Czech University of Life Science Drton, Mathias University of Washington

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36 [ ] * DNA * Advancement of an ancient DNA studies for exploring bio-diversity in a lost ecological systems International Symposium on Biodiversity in Madagascar Yonezawa T. Segawa T. Mori H. Campos P. F. Hongoh Y. Endo H. Akiyoshi A. Kohno N. Nishida S. Wu J. Jin H. Adachi J. Kishino H. Kurokawa K. Nogi Y. Tanabe H. Mukoyama H. Yoshida K. Rasoamiaramanana A. Yamagishi S. Hayashi Y. Yoshida A. Koike H. Akishinonomiya F. Willerslev E. and Hasegawa M. Phylogenomics and morphology of extinct paleognaths reveal the origin and evolution of the ratites Current Biology 27(1) doi: /j.cub DNA ( ) DNA DNA ( ) International Symposium on Biodiversity in Madagascar ( )

37 DNA ( ) CSIRT CSM Ariyoshi Y. * Space debris modelling for sustainable space utilization ISI-ISM-ISSAS Joint Meeting Delhi India ( (B)) ( ) ( ) ( (B) ( )) ( ) ( ) SC16 ( ) ISI-ISM-ISSAS Joint Meeting ( ) LASSO X * Ikeda S. * Event classification PhyStat-v Workshop on Statistical Issues in Experimental Neutrino Physics * *

38 Ikeda S. * Cosmological parameter estimation and Fisher information matrix IGAIA IV (Information Geometry and its Applications) Liblice Czech Republic * * B01-1: * ISM-IMI * LASSO 2 MI2I * * JAXA Ikeda S. * Sparse modeling approach: Interferometry imaging without CLEAN ALMA-J * * Ikeda S. * Sparse modeling: new imaging methods for radio interferometry Challenges of AGN jets * AIP Ikeya T. Ikeda S. Kigawa T. Ito Y. and Güntert P. Protein NMR structure refinement based on Bayesian inference Journal of Physics: Conference Series 699(1) doi: / /699/1/ Honma M. Akiyama K. Tazaki F. Kuramochi K. Ikeda S. Hada K. and Uemura M. Imaging black holes with sparse modeling Journal of Physics: Conference Series 699(1) doi: / /699/1/ Ikeda S. Odaka H. and Uemura M. Sparse modeling for astronomical data analysis Journal of Physics: Conference Series 699(1) doi: / /699/1/ Uemura M. Kawabata K. Ikeda S. Maeda K. Wu H. -Y. Watanabe K. Takahashi S. and Fujishiro I. Data-driven approach to Type Ia supernovae: variable selection on the peak luminosity and clustering in visual analytics Journal of Physics: Conference Series 699(1) doi: / /699/1/ Ikeda S. Tazaki F. Akiyama K. Hada K. and Honma M. PRECL: A new method for interferometry imaging from closure phase Publications of Astronomical Society of Japan 68(3) 45 doi: /pasj/psw Watanabe K. and Ikeda S. Rate-distortion functions for gamma-type sources under absolute-log distortion measure IEEE Transactions on Information Theory 62(10) doi: /tit Morii M. Ikeda S. Tominaga N. Tanaka M. Morokuma T. Ishiguro K. Yamato J. Ueda N. Suzuki N. Yasuda N. and Yoshida N. Machine-learning selection of optical transients in the Subaru/Hyper Suprime-Cam survey Publications of the Astronomical Society of Japan 68(6) doi: /pasj/psw (300) Ikeya T. Hanashima T. Hosoya S. Shimazaki M. Ikeda S. Mishima M. Güntert P. and Ito Y. Improved in-cell structure determination of proteins at near-physiological concentration Scientific Reports doi: /srep Morii M. Ikeda S. Sako S. and Ohsawa R. Data compression for the Tomo-e Gozen using low-rank matrix approximation The Astrophysical Journal 835(1) 1-5 doi: / /835/1/ Pike S. Ebisawa K. Ikeda S. Morii M. Mizumoto M. and Kusunoki E. Application of data science techniques to disentangle X-ray spectral variation of super-massive black holes ( ) 35

39 ( ) ( ) (JST CREST) ( ) ( ) IGAIA IV ( ) EHT Collaboration Meeting 2016 ( ) IEEE Transactions on Neural Networks and Learning Systems reviewer Neural Networks Reviewer 30 ( ) ISMS Associate Editor 2 * * Itaka S. * Ota T. Mizoue N. and Yoshida S. Influence of topographical factor on tree-ring climate signals on natural old-growth Cryptomeria japonica forest in Yaku-Island/Japan IUFRO International Symposium FORCOM/SFEM/ * 19 AMS

40 Itaka S. * and Yoshimoto A. Carbon balance comparison between installation of Mega-solar panel and forest management International Symposium FORMATH-Hiroshima * ( ) ( ) * * * Ito S. * The cooperation with mathematics program in Japan ISM-ZIB-IMI Joint Workshop on Optimization and Data-intensive High Performance Computing Tokyo Japan ( (C)) ( ) ( ) ( ) Mathematical Optimization Society The Fifth International Conference on Continuous Optimization (ICCOPT 2016 Tokyo) Organizing Committee Member (1)(2) ( ) ( ) ( ) ISM-ZIB-IMI Joint Workshop on Optimization and Data-intensive High Performance Computing ( Zuse Institute Berlin ) ( ) NOE 37

41 Web Satisfice Inagaki Y. * Nakamura T. and Park Y. * An investigation of meanings of Trust and their transition in the surveys on the Japanese National character and other related surveys Third ISA Forum of Sociology Vienna Austria * Web * Web * Satisfice * * * CAPI Obayashi S. Inagaki Y. and Takikawa H. The condition for generous trust PLoS ONE 11 doi: /journal.pone Best Poster Award ( ) rd ISA Forum of Sociology ( ) ( ) STAN 2 * Iba Y. * and Takayanagi, S. Rare event sampling using multicanonical MCMC and time-reversed simulation Simulations 38

42 Encounter with Data Science Tokyo Japan Vol.3 ( ( )) Vol.4 ( ( )) Vol.5 ( ( )) ( (C)) ( (A)) ( ) ( ) ( (JAXA)) ( ) ( C) ( ) ( ) (CREST ) ( ) ( ) ( ) Simulations Encounter with Data Science - Data Assimilation Emulators Rare Events and Design ( ) Develop automatic annotation software for whole brain imaging of Caenorhabditis elegans using machine learning methods. Wu S. * Angelikopoulos P. Arampatzis G. Menze B. and Koumoutsakos P. A hierarchical Bayesian approach to pharmacokinetics study SIAM conference on uncertainty quantification Lausanne Switzerland Wu S. * Automatic neuron annotation for Caenorhabditis elegans: a machine learning approach Wu S. * Quantitative analysis for whole brain images of Caenorhabditis elegans: a machine learning approach Wu S. * A machine learning pipeline for whole brain imaging of Caenorhabditis elegans: cell tracking quantification annotation and visualization Wu S. * Learn from the raw data: what s wrong with our annotation approach?

43 Wu S. * C Wu S. * Whole brain imaging of Caenorhabditis elegans X machine learning Wu S. * A machine learning pipeline for whole brain imaging of caenorhabditis elegans: cell tracking quantification annotation and visualization BioImage Informatics Conference Singapore Singapore Wu S. * Data fusion in a subjective way: a hierarchical model for heterogeneous data Hong Kong Baptist University Seminar Hong Kong SAR China Wu S. * Automated tracking+annotation for whole brain imaging of C. elegans with human correction support Wu S. * Jang M. S. A machine learning approach of auto-annotation and human correction support for whole brain C. elegans imaging Wu S. * Information transferability in a Bayesian uncertainty quantification perspective Symposium: Making Rational Decisions under Uncertainty and Model Complexity Pasadena U.S.A Wu S. * CREST meeting C. elegans annotation: effect of Eat4 & WHITE Wu S. * Angelikopoulos P. Papadimitriou C. and Koumoutsakos P. A hierarchical Bayesian approach to force-field calibration using heterogeneous data Simulations Encounter with Data Science: Data Assimilation Emulators Rare Events and Design Wu S. Angelikopoulos P. Beck J. and Koumoutsakos P. Hierarchical stochastic model in Bayesian inference: theoretical implications and efficient approximation arxiv arxiv: ( ) (CREST ) ( ) ( ) Bio Image Informatics Conference ( ) Hong Kong Baptist University Michael Ng NIMS ( ) UCLA Synergies between Machine Learning and Physical Models Alan Aspuru Guzki ( ) ( ) ~5 Dairaku K. * Ishizaki N. N. and Ueno G. Development of probabilistic regional climate scenario in East Asia 7 EU Ishizaki N. N. Dairaku K. * and Ueno G. High resolution probabilistic regional climate projection using a regression method with multi-model ensemble International Conference on Regional Climate-CORDEX 2016 (ICRC-CORDEX 2016) Stockholm Sweden Dairaku K. * Ueno G. and Ishizaki N. N. Development of probabilistic regional climate scenario in East Asia The 40

44 International Conference on Regional Climate (ICRC)-CORDEX 2016 Stockholm Sweden Miyoshi Y. Yamamoto R. * Ueno G. Shiota D. Nose M. and Machida S. SUSANOO-Aurora activity forecast : Forecast of the aurora index with the real time data assimilation Nakano S. * Ito K. Suzuki K. and Ueno G. Decadal-scale variation of the typhoon recurvature latitude * AU/AL * R (B) Suzuki K. Nakano S. * and Ueno G. An experiment for generations of typhoon tracks using a new stochastic tropical cyclone model in the future climate Asia Oceania Geosciences Society 2016 Beijing China * * Yamamoto R. * Miyoshi Y. and Ueno G. Data assimilation for AU index AGU Fall Meeting 2016 San Francisco U.S.A Ishizaki N. N. Dairaku K. * and Ueno G. Probabilistic regional climate projection in Japan using a regression model with CMIP5 multi-model ensemble experiments AGU Fall Meeting 2016 San Francisco U.S.A * Ueno G. * Data assimilation and optimal error covariance Simulations Encounter with Data Science Data Assimilation Emulators Rare Events and Design Ueno G. and Nakamura N. Bayesian estimation of the observation-error covariance matrix in ensemble-based filters Quarterly Journal of the Royal Meteorological Society doi: /qj Nakano S. Ito K. Suzuki K. and Ueno G. Decadal-scale meridional shift of the typhoon recurvature latitude over five decades International Journal of Climatology doi: /joc Nakabayashi A. and Ueno G. An extension of the ensemble Kalman filter for estimating the observation error covariance matrix based on the variational Bayes s method Monthly Weather Review doi: /mwr-d Ishizaki N. N. Dairaku K. and Ueno G. Regional probabilistic climate projection for Japan with a regression model using multi-model ensemble experiments Hydrological Research Letters 11(1) doi: /hrl ( ) ( (B)) ( ) ( ) ( ) ( ) ( ) ( ) SC ( ) AGU ( ) AMS ( ) 41

45 AU [ 2 ] ( ) Developing novel Hybrid Multi-factor stochastic differential equation modelling framework. This approach allows observable interpretable economic factors to be consistently incorporated into the term structure of commodity futures prices. Thus furthering our understanding of the dependence structure in prices and facilitating more robust risk management. Ames M. * Peters G. Bagnarosa G. Shevchenko P. and Matsui T. Forecasting covariance for optimal carry trade portfolio allocations ICASSP 2017 New Orleans U.S.A Ames M. Bagnarosa G. and Peters G. Violations of uncovered interest rate parity and international exchange rate dependences Journal of International Money and Finance doi: /j.jimonfin United Kingdom Research Workshop ( ) U.S.A. Research presentation ( ) United Kingdom Research collaborations ( ) SVM Eguchi S. * Information geometry associated with two generalized means Information Geometry and its applications IV 42

46 Liblice Czech Republic * * Eguchi S. * Two paradigms in statistical prediction The International Conference on Bioinformatics and Biostatistics for Agriculture Health and Environment Rajshahi Bangladesh * Generalized Boltzmann machines related to activation functions Okamura H. Ikeda S. Morita T. and Eguchi S. Risk assessment of radioisotope contamination for aquatic living resources in and around Japan Proceedings of the National Academy of Sciences doi: /pnas Notsu A. and Eguchi S. Robust clustering method in the presence of scattered observations Neural Computation doi: /neco_a_ Omae K. Komori O. and Eguchi S. Reproducible detection of disease-associated markers from gene expression data BMC Medical Genomics 9(53) doi: /s Eguchi S. Notsu A. and Komori O. Spontaneous Learning for Data Distributions via Minimum Divergence Computational Information Geometry Springer International Publishing Paris doi: / _ ( (B)) ( (A)) ( ) ( ) () ( ) ( ) Czech Republic Information Geometry and its applications IV ( ) Bangladesh The International Conference on Bioinformatics and Biostatistics for Agriculture Health and Environment ( ) Maximum entropy Maxent ( ) [ ] [ ] 1 [ ] Associate Editor 43

47 Otani T. * Noma H. Nishino J. Matsui K. and Matsui S. A comparison of multiple testing methods for effective strategies in genome-wide association studies XXVIIIth International Biometric Conference Victoria Canada * A * Rare Variant * Boroevich K. GWAS * XXVIIIth International Biometric Conference ( ) The 2017 American Statistical Association Conference on Statistical Practice ( ) Ogihara T. * LAMN property and optimal estimation for diffusion with non synchronous observations Workshop Stochastic Analysis and Statistics Ogihara T. * Parametric inference for diffusion processes with high-frequency financial data The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting China Ogihara T. * LAMN property and optimal estimation for diffusion with nonsynchronous observations Workshop Stochastic Analysis and Statistics 2 Tokyo Japan Ogihara T. * Ogihara T. * Ogihara T. * Parameter estimation for diffusion processes with high-frequency observations Workshop Stochastic Analysis and Statistics 4 Tokyo Japan Ogihara T. * Parameter estimation for diffusion processes with noisy nonsynchronous observations TMU Workshop on Financial Mathematics and Statistics 2016 Tokyo Japan Ogihara T. * Parametric inference for diffusion processes with high-frequency data Workshop Portfolio dynamics and limit order books Paris France

48 ( (B)) ( ( )) ICML 2016 ( ) IMS-APRM 2016 ( ) NIPS 2016 Workshop ( ) * Kagawa K. * Under what conditions does hybridization promote adaptive radiation? * * (Fujian Agriculture and Forestry University) ( ) Australia (ANU-UC-ISM Joint Symposium on Environmental Statistics 2016) ( ) China ( ) *

49 * ( (A)) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) * Jones M. C. A tractable and interpretable four-parameter family of unimodal distributions on the circle * A 15H Kato S. * Some properties of a family of distributions on the sphere related to the Möbius transformation ISI-ISM-ISSAS Joint Meeting 2017 Delhi India Kato S. * The wrapped Cauchy distribution on the circle and its bivariate extension Keio International Symposium Statistical Analysis for High-Dimensional Circular or Time Series Data Yokohama Japan Pewsey A. and Kato S. Parametric bootstrap goodness-of-fit testing for Wehrly-Johnson bivariate circular distributions Statistics and Computing doi: /s ( (C)) Spain Arthur Pewsey University of Extremadura Spain ( ) 46

50 India ISI-ISM-ISSAS Joint Meeting 2017 ( ) Statistical Methodology Associate Editor [ 2 ] Associate Editor * Sriperumbudur B. K. Convergence guarantees for kernel-based quadrature rules in misspecified settings 19 (IBIS2016) * Sriperumbudur B. K. Convergence guarantees for kernel-based quadrature rules in misspecified settings 29th Conference on Neural Information Processing Systems (NIPS 2016) Barcelona Kanagawa M. Sriperumbudur B. K. and Fukumizu K. Convergence guarantees for kernel-based quadrature rules in misspecified settings Advances in Neural Information Processing Systems 29 (NIPS 2016) Dagstuhl Seminar NIPS 2016 ( ) Lecturer Krikamol Muandet ( ) Max Planck Institute for Intelligent Systems Philipp Henning Probabilistic Numerics ( ) * Kanefuji K. * On growth patterns of Japanese boys and girls Joint Statistical Meeting Chicago U.S.A * * Wuqiriletu Suqin 47

51 Nakazawa K. * Nagafuchi O. Wuqirilteu Kanefuji K. Jin Y. Ji-qun C. and Sasiqin Is there any human health risk in groundwater observed in inner Mongolia? Social and Environmental Changes on the Mongolian Plateau Canberra Australia * * ( (A)) ( ) ( ) ( ) Joint Statistical Meetings 2016 ( ) Australia ( ) 4 ( ) ( ) ANU-UC-ISM Joint Symposium on Environmental Statistics 2016 ( The Institute of Statistical Mathematics) Canberra 4 ( ) Kamiya N. Modeling of the predictive behavior under the uncertain situation International Congress of Psychology Yokohama Japan *

52 ESTRELA ( ) ( ) Reviewer of Behaviormetrika [ ] [ ] [ ] Kawasaki Y. * and Aoki Y. Asymmetric modeling of price change in commodity futures First Seoul-Tokyo-Stanford Workshop on Financial Statistics and Risk Management Seoul Korea Morimoto T. and Kawasaki Y. * Volatility forecasting with empirical similarity: Japanese stock market case The 36th International Symposium on Forecasting Santander Spain * Kawasaki Y. * and Ueki M. Sparse predictive modeling for bank telemarketing success using smooth-threshold estimating equations Joint Statistical Meeting 2016 Chicago U.S.A Kawasaki Y. * and Yoshida Y. Intraday periodicity of high frequent commodity futures data The 3rd ISM International Statistical Conference Kuala Lumpur Malaysia Kawasaki Y. * and Aoki Y. Risk analysis of asymmetric price changes in Japanese commodity futures CEQURA Conference 2016 on Advances in Financial and Insurance Risk Management Munich Germany Kawasaki Y. * and Ueki M. Effective search for masked explanatory variables in linear regression ANU-UC-ISM Joint Symposium on Environmental Statistics 2016 Canberra Australia Kawasaki Y. * Panel discussion: data science education using real data Workshop on Undergraduate Education of Data Science Hikone Japan Kawasaki Y. * Fostering and promoting statistical thinking at the Institute of Statistical Mathematics Workshop on Undergraduate Education of Data Science Hikone Japan * ( (C)) ( (A)) (

53 ) ( ) ( (B)) ( ) ( ) ( (A)) ( ) ( ) First Seoul-Tokyo-Stanford Workshop on Financial Statistics and Risk Management ( ) The 36th International Symposium on Forecasting ( ) Joint Statistical Meeting 2016 ( ) The 3rd ISM International Statistical Conference ( ) CEQURA Conference on Advances in Financial and Insurance Risk Management ( ) ANU-UC-ISM Joint Symposium on Environmental Statistics ( ) Econometric Society North American Winter Meeting ( ) MoU ( ) IoT ( Bayesian sparse regression modeling ( ) [ ] [ ] [ ] [ ] 1 ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) CSIRT CSM ISMS Associate Editor 50

54 * * ( ) ( ) ( ) ( ) India ISI-ISM-ISSAS Joint Meeting 2017 ( ) 51

55 ETAS * Accelerated nucleation of the 2014 Iquique Chile Mw 8.2 Earthquake * * M Background rates of swarm earthquakes that are synchronized with volumetric strain changes Earth and Planetary Science Letters Accelerated nucleation of the 2014 Iquique Chile Mw 8.2 Earthquake Scirntific Reports 6 doi: /srep M ( (S)) ETAS The 10th ICSA International Chinese Statistical Association International Conference ( ) 10 10th International Workshop on Statistical Seismology (StatSei10) ( ) Lu Xiaolei Kuriki S. * The volume-of-tube method for simultaneous inference in nonlinear regression models Mathematische Kolloquium Ulm University Ulm Germany Kuriki S. * Shirai T. and Duy T. K. Some distributions associated with the cone of positive semidefinite matrices and their applications ims APRM 2016 Hong Kong China * Duy T. K * Kuriki S. * Simultaneous confidence bands for contrasts between several nonlinear regression curves 2016 International Conference for JSCS 30th Anniversary in Seattle Seattle U.S.A * CREST *

56 Kuriki S. * Shirai T. and Duy T. K. Testing dimensionality of multivariate variance components CFE-CMStatistics 2016 Sevilla Spain Kuriki S. * Expected Euler characteristic heuristic for approximating the distribution of the largest eigenvalue of random matrices Algebraic and Geometric Methods in Statistics Tachikawa Japan * Lin G. D. Dou X. and Kuriki S. The bivariate lack-of-memory distributions arxiv arxiv: Ninomiya Y. Kuriki S. Shiroishi T. and Takada T. Use of spurious correlation for multiplicity adjustment arxiv arxiv: Lu X. and Kuriki S. Simultaneous confidence bands for contrasts between several nonlinear regression curves Journal of Multivariate Analysis doi: /j.jmva Kuriki S. Discussion on A Bayesian information criterion for singular models by Mathias Drton and Martyn Plummer Journal of the Royal Statistical Society: Series B (Statistical Methodology) 79(2) doi: /rssb ( (C)) /29 11 ( (B)) Ulm Sprdarev ( ) ( ) ( ) (JST CREST) ( ) ( ) ( ) Germany Ulm Institute of Stochastics Evgeny Spodarev ( ) China IMS APRM 2016 ( ) U.S.A. Drton JSCS 30th Anniversary in Seattle ( ) Spain CFE-CMStatistics 2016 ( ) China The 10th ICSA international conference ( ) Statistica Sinica Associate Editor Application of Algebraic Methods to Statistics ( )

57 (New Horizons of Applied Statistics) ( ) Algebraic and Geometric Methods in Statistics ( The Institute of Statistical Mathematics) ISMS Associate Editor * * * * * * * Causal measures of the treatment effect captured by candidate surrogate endpoints * * Kuroki M. and Hayashi T. Estimation accuracies of causal effects using supplementary variables Scandinavian Journal of Statistics ( (C))

58 ( (A)) ( ) ( ) ( (A)) ( ) ( ) Joint Quantitative Political Science Conference for Asia and Australasia ( ) Journal of Causal Inferenece Associate Editor ISMS NOE Associate Editor Koyama S. * On the spike train variability characterized by variance-to-mean power relationship Modeling Neural Activity (MONA2) Waikokoa U.S.A Koyama S. * Fluctuation scaling in neural spike trains Workshop on Statistical Analysis for Neural Time Series CNS2016 Jeju island Korea * Introduction to point process analysis Workshop on Theory and Applications of Multitrack Event-Trains in Neural Social Seismological and Financial Data Koyama S. * Approximate inference for the inference of stochastic reaction networks 12th International Neural Coding Workshop Cologne Germany * Koyama S. * Fluctuation scaling in point processes ICSA 2016 Shanghai China Koyama S. and Kobayashi R. Fluctuation scaling in neural spike trains Mathematical Biosciences and Engineering doi: /mbe

59 Osanai Y. Shimizu T. Mori T. Yoshimura Y. Hatanaka N. Nambu A. Kimori Y. Koyama S. Kobayashi K. and Ikenaka K. Rabies virus-mediated oligodendrocyte labeling reveals a single oligodendrocyte myelinates axons from distinct brain regions GLIA doi: /glia ( ) ( ) ( ) U.S.A. ( ) Korea ( ) Germany ( ) China ( ) ISMS * Numerical investigation of Lyapunov orbits and its application to temporal capture of satellites N N Saito M. * Kinoshita R. and Nishiura H. Progress report on modelling of rubella epidemic in Japan JSMB2016 Fukuoka Japan * 2012/ ( ) SC16 ( ) 15 JAFoS ( ) 2017 Joint PI Meeting : NSF BIGDATA and Big Data Hubs & Spokes Rubella epidemic modelling and distribution of vaccines in Japan ( ) NN 2016 (N ) AIC 56

60 * * * LASSO AIC Kabashima Y. Krzakala F. Mezard M. Sakata A. and Zdeborova L. Phase transitions and sample complexity in Bayes-optimal matrix factorization IEEE Transactions on Information Theory 62(7) doi: /tit Sakata A. Evaluation of generalized degrees of freedom for sparse estimation by replica method Journal of Statistical Mechanics: Theory and Experiment 2016 doi: / /2016/12/ ( (B)) * * * ( ) * * AKB * *?

61 ( (B)) ( ) ( ) Shimizu K. * Imoto T. and Shieh G. S. A new method of obtaining probability mass functions on the circle The 3rd ISM International Statistical Conference Kuala Lumpur Malaysia * Zhan X. Ma T. Liu S. * and Shimizu K. On circular correlation for data on the torus ANU-UC-ISM Joint Symposium on Environmental Statistics 2016 Canberra Australia Shimizu K. * Imoto T. and Shieh G. S. Discrete distributions on the circle Keio International Symposium: Statistical Analysis for High-Dimensional Circular or Time Series Data Liu S. Ma T. SenGupta A. Shimizu K. and Wang M. -Z. Influence diagnostics in possibly asymmetric circular-linear multivariate regression models Sankhya B doi: /s Zhan X. Ma T. Liu S. and Shimizu K. On circular correlation for data on the torus Statistical Papers doi: /s Malaysia ( ) Australia ( ) Environmental and Ecological Statistics Associate Editor Journal of Statistical Theory and Practice Associate Editor ( ) ANU-UC-ISM Joint Symposium on Environmental Statistics 2016 ( The Australian National University) Canberra (University of Canberra) 58

62 * * * ( (C)) ( ) ( ) ( ) Shimura T. * and Nakata T. Variety of distributions with asymptotically logarithmic truncated mean World congress in probability and statistics Tronto Canada * ( (C)) ( ) ( ) ( (C)) ( ) ( ) Canada World Congress in Probability and Statistics ( ) [ ] [ ] ( ) ( ) ETAS 59

63 GPS Zhuang J. * Testing significance of non-seismicity precursors against earthquake clustering models instead of against complete randomness 2016 International Workshop on Earthquake Precursors Taipei Taiwan Han P. * Zhuang J. and Hattori K. Assessment and optimization of the potential earthquake precursory information in ULF magnetic data registered at Kanto Japan during Segou M. * and Zhuang J. Optimized physics-based earthquake forecasts for inland Japan Zhuang J. * and Wang T. Correcting biases in the estimates of earthquake clustering parameters caused by short-term missing of aftershocks Zhuang J. * and Mateau J. Semiparametric estimates of the long-term background trend periodicity and clustering effect in crime data 2016 International Workshop on Spatial and Temporal Modeling from Statistical Machine Learning and Engineering perspectives (STM2016) Zhuang J. * and Mateau J. Semiparametric estimates of the long-term background trend periodicity and clustering effect in crime data 2016 Joint Statistical Meetings (JSM) Chicago U.S.A * Detection and replenishment of missing data in marked point processes * Statistical investigations of electromagnetic phenomena associated with earthquakes Wang D. * Zhuang J. Mori J. Maeda T. Tsuruoka H. and Xu Z. Automated determination of magnitude and source extent of large earthquakes * Data completeness of the Kumamoto sequence in the JMA catalog and its influence to estimation of ETAS parameters * Possible coupling of multiple pre-earthquake phenomena of the 2011 Tohoku earthquake (Mw9.0) * On the extensions of the epidemic-type aftershock sequence model Han P. * Zhuang J. Hattori K. and Ogata Y. An interdisciplinary approach for earthquake modelling and forecasting 2016 Fall Meeting of the American Geophysical Union (AGU) San Francisco U.S.A Zhuang J. * Nonparametric modelling of spatiotemporal crime data 2016 The 10th ICSA International Conference on Global Growth of Modern Statistics in the 21st Century Shanghai China * Mateu J. Semi-parametric estimates of the long-term background trend periodicity and clustering effect in crime deta Han P. * Zhuang J. Hattori K. and Ogata Y. Preliminary study of earthquake models incorporating seismo-electromagnetic data 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Wang T. * Zhuang J. Obara K. Tsuruoka H. and Buckby J. A 2D hidden Markov model for the recurrence patterns of non-volcanic tremors 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Guo Y. * Zhuang J. and Hirata N. Aftershock productivity imaging on main shock fault plane by seismicity triggering modelling 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Yin F. * Zhuang J. Jia K. Jiang C. and Han L. A study on seismicity in the Yunnan region by using multidimental stress release model 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Zhuang J. * and Wang T. On the biased estimate of earthquake clustering parameters caused by short-term aftershock missing 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Shcherbakov R. * Zhuang J. and Ogata Y. The magnitude of the extreme aftershock 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand

64 Huang Y. -L. Zhou S. -Y. and Zhuang J. -C. Numerical tests on catalog-based methods to estimate magnitude of completeness Chinese Journal of Geophysics doi: /cjg Luo J. and Zhuang J. Three regimes of the distribution of the largest event in the critical ETAS model Bulletin of the Seismological Society of America doi: / Zhuang J. Wang D. and Matsu ura M. Features of the earthquake source process simulated by Vere-Jones branching crack model Bulletin of the Seismological Society of America doi: / Han P. Hattori K. Zhuang J. Chen C. -H. Liu J. -Y. and Yoshida S. Evaluation of ULF seismo-magnetic phenomena in Kakioka Japan by using Molchan s error diagram Geophysical Journal International doi: /gji/ggw Wang T. Zhuang J. Obara K. and Tsuraoka H. Hidden Markov modelling of sparse time series from non-volcanic tremor observations Journal of the Royal Statistical Society Series C (Applied Statistics) 66 doi: /rssc Zhuang J. Ogata Y. and Wang T. Data completeness of the Kumamoto earthquake sequence in the JMA catalog and its influence on the estimation of the ETAS parameters Earth Planets and Space doi: /s Chu A. Multiple Linear Regression Analyses on the Relationships among Magnitude Rupture Length Rupture Width Rupture Area and Surface Displacement (Li Y. -G. (ed.)) De Gruyter Berline/Boston ( (B)) ( ) ( ) China Developing campaigned geodetic data process procedure based on Bayesian statistics ( ) Taiwan 2016 IWEP(International Workshop on Earthquake Precursors) ( ) China Earthquake Physics and Induced Seismicity ( ) 2016 Joint Statistical Meetings (JSM) (2016 ) ( ) China2016 ( ) Italy Maura Murru ( ) China The 10th ICSA ( ) International Conference ( ) New Zealand 10th International Workshop on Statistical Seismology(StatSei10) Wang Ting ( ) Associate Editor 61

65 Sugasawa S. * and Kubokawa T. Flexibly transformed empirical best prediction in finite population ISI-ISM-ISSAS Meeting Delhi India Kubokawa T. Sugasawa S. Ghosh M. and Chaudhuri S. Prediction in heteroscedastic nested error regression with random dispersions Statistica Sinica doi: /ss Sugasawa S. and Kubokawa T. Bayesian estimators in uncertain nested error regression models Journal of Multivariate Analysis doi: /j.jmva Sugasawa S. Tamae H. and Kubokawa T. Bayesian estimators for small area models shrinking both means and variances Scandinavian Journal of Statistics doi: /sjos.12246/full ( ) ISI-ISM-ISSAS Joint Conference ( ) U.S.A. ( ) * ISM * ( (B)) Takizawa Y. * Electrophysical and chemical operation of active neurons and neural groups for synchronous systems International Conference on Mathematics and Computers in Biology and Chemistry (MCBC 17) Rome Italy Fukasawa A. and Takizawa Y. Electrophysical modelling and analysis of axon in neurons International Journal of Biology and Biomedicine Takizawa Y. Fukasawa A. and Takeuchi H. Electrophysical activity in paramecium; Generation of potentials for motions 62

66 of cilia International Journal of Biology and Biomedicine Fukasawa A. and Takizawa Y. Electrophysical modelling and analysis of activity in neurons International Journal of Medical Physiology Takizawa Y. and Fukasawa A. Electrophysical modelling of axon in neuron and its analysis International Journal of Medical Physiology Takizawa Y. and Fukasawa A. Electrophysical study of signal transmission by unmyelinated and myelinated axons of neurons International Journal of Biology and Biomedical Engineering Takizawa Y. and Fukasawa A. Transmission characteristics of unmyelinated and myelinated axon in neurons WSEAS Transactions on Electronics Takizawa Y. and Fukasawa A. Electrophysical generation of pulse and plateau potentials in noctiluca WSEAS Transactions on Biology and Biomedicine Takizawa Y. and Fukasawa A. Electrophysical generation of pulse and plateau potentials for motion of tentacle of noctiluca WSEAS Transactions on Biology and Biomedicine Italy ( ) Greece ( ) Italy ( ) WSEAS Transactions on Circuits and Systems reviewer : [1 2 ] L0 * Tono K. * Takeda A. and Gotoh J. A link between DC algorithms and proximal gradient methods Fifth International Conference on Continuous Optimization (ICCOPT 2016) Tokyo Ito N. * Takeda A. and Toh K. -C. Fast accelerated proximal gradient method and its application to unified classification algorithm Fifth International Conference on Continuous Optimization (ICCOPT 2016) Tokyo Sakaue S. * Takeda A. Kim S. and Ito N. Exact SDP relaxations with truncated moment matrix for binary polynomial optimization problems Fifth International Conference on Continuous Optimization (ICCOPT 2016) Tokyo Adachi S. Iwata S. Nakatsukasa Y. * Sakaue S. and Takeda A. Global optimization via eigenvalues Fifth International Conference on Continuous Optimization (ICCOPT 2016) Tokyo Yamada S. * and Takeda A. A fast approximation method for nonconvex quadratic optimizations with few constraints Fifth International Conference on Continuous Optimization (ICCOPT 2016) Tokyo Takeda A. * Applying stochastic / robust optimization to machine learning problems Financial Engineering Lab. Korea Advanced Institute of Science and Technology Daejeon Korea *

67 * * WINTER FESTA Episode * ( ) Takeda A. * Tono K. and Gotoh J. Efficient DC algorithm for sparse optimization Numerical Analysis Group Internal Seminar Oxford England * AIP Sakaue S. Nakatsukasa Y. Takeda A. and Iwata S. Solving generalized CDT problems via two-parameter eigenvalues SIAM Journal on Optimization doi: / x Gotoh J. and Takeda A. CVaR Minimizations in Support Vector Machines Wiley-IEEE Press NJ U.S.A. doi: / ch ( (C)) ( ) ( ) ( ) (JST CREST) ( ) ( ) EMS (JST CREST) ( ) ( ) ( ) ( ) ( ) Korea ( ) Korea ( ) England ) A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification [ 2 ] DC Representations and Efficient Algorithms for l0-constrained Optimization Problems [ 2 ] Iterative convex quadratic relaxation algorithm for nonconvex quadratic optimization [ 2 ] [ 3 ] F [ 1 ] [ 2 ] The Fifth International Conference on Continuous Optimization (ICCOPT2016) ( The Mathematical Optimization Society) National Graduate Institute for Policy Studies 64

68 * Takeda H. Tamura Y. and Sato S. Using the ensemble Kalman filter for electricity load forecasting and analysis Energy Lal A. Oku Y. Someya H. Miwakeichi F. and Tamura Y. Emergent network topology within the respiratoryrhythm-generating kernel evolved in silico Plos One doi: /journal.pone ( (C)) U.S.A. SC2016 ( ) China ( ) [ 3 4 ] [ ] [ ] 6 ( ) ( ) H28 ( ) ISM HPCCON ( ) ( ) ( ) ( ) ( )

69 ( ( ) H28 ( ) ( ) ( ) ( ) ( ) CSIRT ISMS NOE Web * * Tsuchiya T. * Which one would be more critical the error due to nonresponse or that due to the sequence of questions? International Total Survey Error Workshop 2016 Sydney Australia Tsuchiya T. * and Tomita N. Effects of grouping alternatives on eliciting more responses to check-all-that-apply questions International Conference on Questionnaire Design Development Evaluation and Testing Miami U.S.A ( (C))

70 ( (A)) ( ) ( ) International Total Survey Error Workshop ( ) QDET 2 ( ) TIMSS [ ] [ ] [ ] [ S1 ] 67

71 * * R * Big data handling by R and Hadoop The workshop for the Current Trends in Statistics Seoul * * * Summarizing aggregated symbolic data with categorical variables ISI-ISM-ISSAS joint conference 2017 Delhi India * * High performance computing on R A high performance scientific computing conference * Big data handling by R and Hadoop Seminar at NCKU Mizukami Y. Honda K. Suzuki S. Nakano J. and Otabe A. Co-author information and authors affiliation information in scientific literature using centralities International Journal of the Japan Association for Management Systems ( (C)) U.S.A. SAS global forum ( ) Big graph ( ) Sweden ( ) Spain ( ) ( ) U.S.A. SC16 ( ) India Conference ( ) A high performance scientific computing conference at NTU at NCKU ( ) [ 14 A210 ] 68

72 [ 3rd JP ] ( ) R ( ) ( ) ISMS NOE Nakano S. * Brandt P. and Fok M. -C. A pilot study for reconstruction of the inner-magnetosphere by data assimilation of global ENA and EUV measurements Nakano S. * Ito K. Suzuki K. and Ueno G. Decadal-scale variation of the typhoon recurvature latitude Nakano S. * and Ogawa Y. A quantification method for the properties of diffuse and pulsating aurorae based on auroral image data * Nakano S. * A Gaussian process model for representing the uncertainty and long-term change in typhoon behavior and its application the 26th Annual Conference of the International Environmetrics Society Edinburgh United Kingdom Zhang X. -X. He F. * Chen B. Fok M. -C. and Nakano S. Chang e-3 extreme ultraviolet camera observations of the dynamics of the Earth s plasmasphere during substorms AOGS 13th Annual Meeting

73 Nakano S. * and Ogawa Y. Modeling of the motion of diffuse and pulsating aurorae based on auroral image data with high temporal resolution AOGS 13th Annual Meeting Suzuki K. Nakano S. * and Ueno G. An experiment for generations of typhoon tracks using a new stochastic tropical cyclone model in the future climate AOGS 13th Annual Meeting * * * Brandt P. and Fok M. -C * TEC * * Sudo A. * Higuchi T. Yabe T. Kanasugi H. Song X. Nakano S. Saito M. and Sekimoto Y. Particle filter for real-time human mobility prediction following unprecedented disaster SIGSPATIAL 2016 Burlingame U.S.A * SECS reconstruction of ionospheric flow fluctuations observed by SuperDARN on St. Patrick s day 2015 storm * Analyses of time series of auroral images for deducing properties of diffuse and pulsating aurorae Nakano S. * Brandt P. and Fok M. -C. Data assimilation of global ENA and EUV measurements for reconstruction of the inner-magnetosphere AGU Fall Meeting 2016 San Francisco U.S.A * * Nakano S. * Brandt P. and Fok M. -C. Experimental study of global imaging data assimilation for reproducing the inner magnetosphere The 3rd RIKEN International Symposium on Data Assimilation / 7th Annual Japanese Data Assimilation Workshop Kobe Japan Nakano S. * Kernel regression approach for ensemble Kalman filters The 3rd RIKEN International Symposium on Data Assimilation / 7th Annual Japanese Data Assimilation Workshop Kobe Japan JavaFX-based iugonet Data Analysis Software (JudasFX) Nakano S. Ito K. Suzuki K. and Ueno G. Decadal-scale meridional shift of the typhoon recurvature latitude over five decades International Journal of Climatology doi: /joc Sudo A. Kashiyama T. Yabe T. Kanasugi H. Song X. Higuchi T. Nakano S. Saito M. and Sekimoto Y. Particle filter for real-time human mobility prediction following unprecedented disaster Proceedings of SIGSPATIAL 2016 doi: / A_76-A_ ( (B)) ( ) ( ) ( (B)) ( ) ( ) ( (B)) 70

74 ( ) ( ) ( ) ( ) TIES 2016 ( ) AOGS 2016 ( ) SC16 ( ) AGU Fall Meeting 2016 ( ) U.S.A Americal Meteorological Society Annual Meeting ( ) ( : ) ( ) RIKEN International Symposium on Data Assimilation 2017 ( ) CSM ISMS ( ) Inagaki Y. * Nakamura T. and Park Y. An investigation of meanings of Trust and their transition in the surveys on the Japanese national character and other related surveys Third ISA Forum of Sociology Vienna Austria * J * Age-Period-Cohort * * 44 71

75 * * Age-Period-Cohort 31(1) ( (A)) * : * * * Noda T. * Yap M. Miyamoto Y. Arai N. Mitamura H. Ichikawa K. Uchida K. Kimura S. S. Miyashita K. Shirakawa H. Tsuda Y. and Kitagawa T. Construction of advanced biologging systems for high rates of data-recovery from marine top predators PITTCON Noda T. Fujioka K. Fukuda H. Mitamura H. Ichikawa K. and Arai N. The influence of body size on the intermittent locomotion of a pelagic schooling fish Proceedings of the Royal Society B: Biological Sciences 283(1832) Shirai H. Mitamura H. Noda T. Arai N. and Moriya K. Study of the efficiency of electrical generator using ferromagnetic powders by electromagnetic analysis Mechanical Engineering Journal 3(5)

76 ( ( )) ( ) ( ) ( ) *Vol * Individual Participant Data (IPD) Noma H. and Gosho M. A generalized Akaike s information criterion for multiple imputation XXVIIIth International Biometric Conference Victoria Canada Otani T. * Noma H. Nishino J. Matsui K. and Matsui S. A comparison of multiple testing methods for effective strategies in genome-wide association studies XXVIIIth International Biometric Conference Victoria Canada * * The optimal discovery procedure: A generalization of the Neyman-Pearson fundamental lemma to multiple significance testing * * Boroevich K. GWAS * (A) * OA * Comparative Effectiveness Research * * Basic assumptions of network meta-analysis and key concepts about statistical analysis Network Meta-Analysis Workshop in Kyoto * 27 A to Z

77 * * Boroevich K. GWAS Morizane S. * Fukasawa S. Komaru A. Inokuchi J. Eto M. Shimbo M. Hattori K. Kawano Y. Noma H. and Takenaka A. Comparison of the limited and extended lymphadenectomy during robot-assisted radical prostatectomy for prostate cancer: Does the extended lymphadenectomy affect the complications? 32nd Annual European Association of Urology Congress London United Kingdom * (S) Ogura A. Akiyoshi T. Yamamoto N. Kawachi H. Ishikawa Y. Noma H. Nagino M. Fukunaga Y. and Ueno M. Does the depth of mesorectal invasion have prognostic significance in patients with ypt3 lower rectal cancer treated with preoperative chemoradiotherapy? International Journal of Colorectal Disease doi: /s Tani Y. Kondo N. Noma H. Miyaguni Y. Saito M. and Kondo K. Eating alone yet living with others is associated with mortality in older men: The JAGES cohort survey Journal of Gerontology: Social Sciences doi: /geronb/gbw Watanabe M. Noma H. Kurai J. Sano H. Ueda Y. Mikami M. Yamamoto H. Tokuyasu H. Kato K. Konishi T. Tatsukawa T. Shimizu E. and Kitano H. Differences in the effects of Asian dust on pulmonary function between adult patients with asthma and those with asthma chronic obstructive pulmonary disease overlap syndrome International Journal of Chronic Obstructive Pulmonary Disease doi: /copd.s Honda M. Akiyoshi T. Noma H. Ogura A. Nagasaki T. Konishi T. Fujimoto Y. Nagayama S. Fukunaga Y. and Ueno M. Patient-centered outcomes to decide treatment strategy for patients with low rectal cancer Journal of Surgical Oncology Kanatani K. T. Hamazaki K. Inadera H. Sugimoto N. Shimizu A. Noma H. Onishi K. Takahashi Y. Itazawa T. Egawa M. Sato K. Go T. Ito I. Kurozawa Y. Konishi I. Adachi Y. Nakayama T. and Japan Environment & Children s Study Group Effect of desert dust exposure on allergic symptoms: A natural experiment in Japan Annals of Allergy Asthma & Immunology doi: /j.anai Watanabe M. Noma H. Kurai J. Hantan D. Burioka N. Nakamoto S. Sano H. Taniguchi J. and Shimizu E. Association between outdoor fungal concentrations during winter and pulmonary function in children with and without asthma International Journal of Environmental Research and Public Health Watanabe M. Noma H. Kurai J. Sano H. Hantan D. Ueki M. Kitano H. and Shimizu E. Effects of short term exposure to particulate air pollutants on the inflammatory response and respiratory symptoms: A panel study in schoolchildren from rural areas of Japan International Journal of Environmental Research and Public Health Takehara K. Dagvadorj A. Sumya N. Ganhuyag S. Bavuusuren B. Ota E. Haruna M. Yoshida M. Kita S. Noma H. and Mori R. Maternal and child health in Mongolia at 3 years after childbirth: A population-based cross-sectional descriptive study Maternal and Child Health Journal doi: /s Matsumoto H. Ueki M. Uehara K. Noma H. Nozawa N. Osaki M. and Hagino H. Comparison of healthcare workers transferring patients using either conventional or robotic wheelchairs: kinematic electromyographic and electrocardiographic analyses Journal of Healthcare Engineering 2016 Article ID Tani Y. Fujiwara T. Kondo N. Noma H. Sasaki Y. and Kondo K. Childhood socioeconomic status and onset of depression among Japanese older adults: The JAGES prospective cohort study American Journal of Geriatric Psychiatry Tsuboi H. Sumida T. Noma H. Yamagishi K. Anami A. Fukushima K. Horigome H. Maeno Y. Kishimoto M. Takasaki Y. Nakayama M. Waguri M. Sago H. and Murashima A. Maternal predictive factors for fetal congenital heart block in pregnant mothers positive for anti-ss-a antibodies Modern Rheumatology doi: / Noma H. and Nagashima K. A note on the Mantel-Haenszel estimators when the common effect assumptions are violated 74

78 Epidemiologic Methods doi: /em Watanabe M. Noma H. Kurai J. Sano H. Mikami M. Yamamoto H. Ueda Y. Touge H. Fujii Y. Ikeda T. Tokuyasu H. Konishi T. Yamasaki A. Igishi T. and Shimizu E. Effect of Asian dust on pulmonary function in adult asthma patients in western Japan: A panel study Allergology International doi: /j.alit Watanabe M. Noma H. Kurai J. Kato K. Sano H. Tatsukawa T. Nakazaki H. Yamasaki A. and Shimizu E. Association between pulmonary function and daily levels of sand dust particles assessed by light detection and ranging in schoolchildren in western Japan: a panel study Allergology International doi: /j.alit Furukawa T. A. Miura T. Chaimani A. Leucht S. Cipriani A. Noma H. Mitsuyasu H. Kanba S. and Salanti G. Using the contribution matrix to evaluate complex study limitations in a network meta-analysis: a case study of bipolar maintenance pharmacotherapy review BMC Research Notes 9(218) doi: /s Noma H. and Tanaka S. Analysis of case-cohort designs with binary outcomes: Improving efficiency using whole-cohort auxiliary information Statistical Methods in Medical Research doi: / Noma H. Tanaka S. Matsui S. Cipriani A. and Furukawa T. A. Quantifying indirect evidence in network meta-analysis Statistics in Medicine doi: /sim Yamada T. Shojima N. Noma H. Yamauchi T. and Kadowaki T. Glycemic control mortality and hypoglycemia in critically ill patients: a systematic review and network meta-analysis of randomized controlled trials Intensive Care Medicine Watanabe M. Noma H. Kurai J. Sano H. Hantan D. and Shimizu E. A panel study of airborne particulate matter composition versus concentration: potential for inflammatory response and impaired pulmonary function in children Allergology International ( (B)) ( (B)) ( ) ( ) PM2.5 ( ) ( ) ( ) ( ) ( ) ( ) (JST CREST) ( ) ( ) ( (C)) ( ) ( ) ( (B)) ( ) ( ) 28th International Biometric Conference ( ) 72nd Deming Conference on Applied Statistics ( ) 75

79 Inagaki Y. * Park Y. * and Nakamura T. An investigation of meanings of Trust and their transition in the surveys on the Japanese National Character and other related surveys Third ISA Forum of Sociology Vienna Austria * * Park Y. * and Tuchiya T. Some experiments on mail survey implementations The autumn 2016 conference of The Korea Association for Survey Research Seoul ( (A)) ( ) ( ) ( ) rd ISA Forum of Sociology ( ) ( ) ( ) [ ] ISMS 1 IR 76

80 * * * H We are trying to develop a hybrid short-term forecast model which consists of the self-exciting and mutually exciting processes. Han P. * Zhuang J. and Hattori K. On the feasibility of short-term earthquake prediction based on ULF magnetic data 2016 International Workshop on Earthquake Precursors Taipei Nangang Exhibition Center Taipei Han P. * Hattori K. and Huang Q. Spatiotemporal characteristics of the geomagnetic diurnal variation anomalies prior to the 2011 Tohoku earthquake (Mw9.0) Han P. * Hattori K. and Zhuang J. Assessment and optimization of the potential earthquake precursory information in ULF magnetic data registered at Kanto Japan during Han P. * Hattori K. and Zhuang J. On the interdisciplinary study of pre-earthquake phenomena: searching for optimal prediction parameters International Workshop on Earthquake Preparation Process Han P. * Zhuang J. and Hattori K. Statistical investigations of electromagnetic phenomena associated with earthquakes Han P. * Zhuang J. and Hattori K. Possible coupling of multiple pre-earthquake phenomena of the 2011 Tohoku earthquake (Mw9.0) Han P. * Zhuang J. Hattori K. and Ogata Y. An interdisciplinary approach for earthquake modeling and forecasting 2016 San Francisco U.S.A Hattori K. * and Han P. Spatio-temporal analysis of geomagnetic diurnal variations associated with the 2011 off the Pacific Coast of Tohoku earthquake (Mw9.0) 2016 San Francisco U.S.A * Han P. Hattori K () (TEC) 3 (2016 ) Han P. * Zhuang J. and Hattori K. Earthquake forecast incorporating non-catalog observations: from binary prediction to probabilistic forecast 3 (2016 ) Han P. * Zhuang J. Hattori K. and Ogata Y. Preliminary study of earthquake models incorporating Seismo-electromagnetic data the 10th International Workshop on Statistical Seismology Wellington New Zealand Han P. Hattori K. Huang Q. Hirooka S. and Yoshino C. Spatiotemporal characteristics of the geomagnetic diurnal variation anomalies prior to the 2011 Tohoku earthquake (Mw 9.0) and the possible coupling of multiple pre-earthquake phenomena Journal of Asian Earth Sciences doi: /j.jseaes Han P. Hattori K. Zhuang J. Chen C. -H. Liu J. -Y. and Yoshida S. Evaluation of ULF seismo-magnetic phenomena in Kakioka Japan by using Molchan s error diagram Geophysical Journal International doi: /gji/ggw IWEP International Workshop on Earthquake Precursors ( ) American Geophysical Union Fall Meeting ( ) 77

81 10 10th International Workshop on Statistical Seismology (StatSei10) ) ( ) 56 ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) LSTM(Long Short-Term Memory) LSTM * * CREST * JOEM Workshop * * * ithes * * 2016 SICE Sudo A. * Kashiyama T. Yabe T. Kanasugi H. Song X. Higuchi T. Nakano S. and Saito M. Particle filter for real-time human mobility prediction following unprecedented disaster 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016) California U.S.A * SFC Open Research Forum * MUFG Higuchi T. * ISM s next challenge for big data and AI ISM-ZIB-IMI Joint Workshop on Optimization and Data-intensive High Performance Computing * * * (1) doi: / 78

82 johokanri (121) Niwayama R. Nagao H. Kitajima T. Hufnagel L. Shinohara K. Higuchi T. Ishikawa T. and Kimura A. Bayesian inference of forces causing cytoplasmic streaming in caenorhabditis elegans embryos and mouse oocytes PLoS ONE 11(7) e doi: /journal.pone (5) doi: /johokanri Sudo A. Kashiyama T. Yabe T. Kanasugi H. Song X. Higuchi T. Nakano S. Saito M. and Sekimoto Y. Particle filter for real-time human mobility prediction following unprecedented disaster Proceedings of ACM SIGSPATIAL doi: / (2) A_76-A_83 doi: /jste.3.2_a_ ( (B)) ( ) ( (B)) ( ) ( ) ( ) ( ) China / ( ) Canada U.S.A ( ) U.S.A. AGU ( ) U.S.A. ( ) [] [ 3 ] 79

83 IT ( [ ] [ 1 ] ISMS NOE Executive Editor Hirose M. * Model based approach for estimating small area means / 55(7) Hirose M. Y. Non-area-specific adjustment factor for second-order efficient empirical Bayes confidence interval arxiv arxiv: Hirose M. Y. Second-order unbiased naive estimator of mean squared error for EBLUP in small-area estimation arxiv arxiv: Hirose M. Y. and Lahiri P. A new model variance estimator for an area level small area model to solve multiple problems simultaneously arxiv arxiv: * Accounting for observation error within the inference of community dynamics: A multistate dynamic site occupancy model for spatially aggregated sessile communities Fukaya K. * Royle J. A. Okuda T. Nakaoka M. and Noda T. A multistate dynamic occupancy model for spatially aggregated sessile communities ISEC * *

84 Yokomizo H. * Takada T. Fukaya K. and Lambrinos J. G. The influence of time since introduction on the population growth of invasive species and the consequences for management Fukaya K. * Accounting for misclassification errors in the estimation of transition probabilities: a spatial multistate dynamic site occupancy model ANU-UC-ISM Joint Symposium on Environmental Statistics * * Royle J. A * Weimerskirch H.? * Sahara R. Fukaya K. Okuda T. Hori M. Yamamoto T. Nakaoka M. and Noda T. Larval dispersal dampens population fluctuation and shapes the interspecific spatial distribution patterns of rocky intertidal gastropods Ecography 39(5) doi: /ecog Fukaya K. Royle J. A. Okuda T. Nakaoka M. and Noda T. A multistate dynamic site occupancy model for spatially aggregated sessile communities arxiv Fukaya K. Kawamori A. Osada Y. Kitazawa M. and Ishiguro M. The forecasting of menstruation based on a state-space modeling of basal body temperature time series arxiv (1) (2) Noda T. Iwasaki A. and Fukaya K. Recovery of rocky intertidal zonation: two years after the 2011 Great East Japan Earthquake Journal of the Marine Biological Association of the United Kingdom 96(8) doi: / S X Vol.4 : Noda T. Iwasaki A. and Fukaya K. Rocky intertidal zonation: impacts and recovery from the Great East Japan Earthquake (Urabe J. and Nakashizuka T. (eds.) Ecological Impacts of Tsunamis on Coastal Ecosystems: Lessons from the Great East Japan Earthquake) Springer Japan Tokyo Iwasaki A. Fukaya K. and Noda T. Quantitative evaluation of the impact of the Great East Japan Earthquake and Tsunami on the rocky intertidal community (Urabe J. and Nakashizuka T. (eds.) Ecological Impacts of Tsunamis on Coastal Ecosystems: Lessons from the Great East Japan Earthquake) Springer Japan Tokyo Noda T. Sakaguchi M. Iwasaki A. and Fukaya K. Rocky intertidal barnacle population dynamics: impacts and recovery from the Great East Japan Earthquake (Urabe J. and Nakashizuka T. (eds.) Ecological Impacts of Tsunamis on Coastal Ecosystems: Lessons from the Great East Japan Earthquake) Springer Japan Tokyo ( ) ( ) ( ) ( ) () ( ) ( ) 81

85 : ( (B)) ( ) ( ) ( (B)) ( ) ( ) CREST DNA ( ) ( ) ( ) ( ) ISEC2016 ( ) ANU-UC-ISM Joint Symposium on Environmental Statistics 2016 ( ) Liu S. * and Fukumizu K. Estimating posterior ratio for classification: Transfer learning from probabilistic perspective 2016 SIAM International Conference on Data Mining Miami U.S.A * * * Fukumizu K. * Estimation with infinite dimensional kernel exponential families Information Geometry and its Applications IV Liblice Czech Republic Liu S. * Suzuki T. Sugiyama M. and Fukumizu K. Structure learning of partitioned Markov Networks The 33rd International Conference on Machine Learning 2016 New York U.S.A Kusano G. * Hiraoka Y. and Fukumizu K. Persistence weighted Gaussian kernel for topological data analysis The 33rd International Conference on Machine Learning 2016 New York U.S.A Fukumizu K. * Kernel methods for topdogical data anaiysis 2016 International Workshop on Spatial and Temporal Modeling from Statistical Machine Learning and Engineering perspectives Liu S. * Suzuki T. Sugiyama M. and Fukumizu K. Structure learning of partitioned Markov Networks MIRU Fukumizu K. * Persistence weighted Gaussian kernel for topological data analysis ERATO Season Andrade D. * and Fukumizu K. A gaussian process model for non-convex probabilistic clustering * * Sriperumbudur B. Convergence guarantees for kernel-based quadrature rules in misspecified settings *

86 Kanagawa M. * Sriperumbudur B. and Fukumizu K. Convergence guarantees for kernel-based quadrature rules in misspecified settings Neural Information Processing Systems 2016 Barcelona Spain * * * Muandet K. Sriperumbudur B. Fukumizu K. Gretton A. and Schölkopf B. Kernel mean shrinkage estimators Journal of Machine Learning Research Kusano G. Hiraoka Y. and Fukumizu K. Persistence weighted Gaussian kernel for topological data analysis Proceedings of The 33rd International Conference on Machine Learning Liu S. Suzuki T. Sugiyama M. and Fukumizu K. Structure learning of partitioned Markov networks Proceedings of The 33rd International Conference on Machine Learning Nishiyama Y. and Fukumizu K. Characteristic Kernels and infinitely divisible distributions Journal of Machine Learning Research 17(180) Kanagawa M. Sriperumbudur B. and Fukumizu K. Convergence guarantees for kernel-based quadrature rules in misspecified settings Advances in Neural Information Processing Systems Liu S. Fukumizu K. and Suzuki T. Learning sparse structural changes in high-dimensional Markov networks Behaviormetrika doi: /s z Iwata T. Kanagawa M. Hirao T. and Fukumizu K. Unsupervised group matching with application to cross-lingual topic matching without alignment information Data Mining and Knowledge Discovery Liu S. Suzuki T. Relator R. Sese J. Sugiyama M. and Fukumizu K. Support consistency of direct sparse-change learning in Markov networks Annals of Statsitics ( ) ( ) ( (B)) ( ) ( ) ( ) (JST CREST) ( ) ( ) Czech Republic IGAIA ( ) ICML2016 ( ) Spain NIPS2016 ( ) United Kingdom ( ) 83

87 31 () () () Probabilistic Graphical Model Workshop 2017 ( ) ISMS NOE Chief Editor Kawano S. * Fujisawa H. Takada T. and Shiroishi T. A one-stage approach for principal component regression via L1-type regularization The 4th Institute of Mathematical Statistics Asian Pacific Rim Meeting Hong Kong China Fujisawa H. * Robust regression under heavy contamination The 4th Institute of Mathematical Statistics Asian Pacific Rim Meeting Hong Kong China Hirose K. * and Fujisawa H. Robust estimation for Gaussian graphical modeling and its application to gene expression data The Fifth International Conference on Continuous Optimization of the Mathematical Optimization Society Yokohama Japan * * * * * * * * III * gamreg:

88 Kawano S. * Fujisawa H. Takada T. and Shiroishi T. A one-stage principal component regression method with sparse regularization 2016 CSA & NCCU Joint Statistical Meetings Taipei Taiwan * Fujisawa H. * Robust and sparse regression modelling ISI-ISM-ISSAS Joint Conference Delhi India * * * Kawashima T. and Fujisawa H. Robust and sparse regression via gamma-divergence arxiv arxiv: Kawano S. Fujisawa H. Takada T. and Shiroishi T. Sparse principal component regression for generalized linear models arxiv arxiv: ( ) China IMS-APRM 2016 ( ) India ISI-ISM-ISSAS Joint Conference ( ) [ ] [ ] ( ) ( ) Associate Editor *

89 3 ( ) * * * Yoneoka D. and Henmi M. Synthesis of linear regression coefficients by recovering the within-study covariance matrix from summary statistics Research Synthesis Methods doi: /jrsm ( C)) th World Congress in Probability and Statistics ( ) AMED [ ] [ ] Associate Editor 86

90 * Maeda T. * Tanaka Y. Hayashi N. and Aizawa M. Impacts of sociodemographic factors on the type of dialects usage in contemporary Japan 3rd ISA Forum of Sociology Vienna Austria * * * Web * * * 2015 Web * * * CAPI Web doi: / Kato-Nitta N. and Maeda T. Organizational creativity in Japanese national research institutions: Enhancing individual and team research performance SAGE Open October-December doi: / (3) ( ) ( (B)) ( (A)) ( ) ( ) ( (A)) ( ) ( ) 3rd ISA Forum of Sociology ( ) 87

91 [ 1 30 ] S ( ) [ 2 4 ] ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) SSP 1 ( ) SSP 2 ( ) ( ) ( ) ( ) ( ) ( ) NOE Matsui T. and Markov K. Robust speech recognition using generalized distillation framework Interspeech doi: /interspeech i-vector SLP-114(6) Matsui T. Markov K. and Jianguo Y. Articulatory and spectrum features integration using generalized distillation framework IEEE International Workshop on Machine Learning for Signal Processing 1-6 doi: /mlsp ( (C)) ( (S)) ( (B)) ( ) ( ) Speech based emotional and depressive mental state prediction using Gaussian Process state-space models ( (C)) Markov Konstantin ( ) ( ) ( (B)) ( ) 88

92 ( ) ( ) ( ) ( ) ( ) ( ) ( ) Italy NIPS2016 ( ) United Kingdom ( ) Spain NIPS2016 ( ) Spain CEF2016 ( ) United Kingdom ( ) United Kingdom ( ) 2017 IEEE Automatic Speech Recognition and Understanding (ASRU2017) Organizing Committee Technical Chair 2017 IEEE International Workshop on Machine Learning for Signal Processing (MLSP2017) Organizing Committee General Chair First International Workshop on Symbolic-Neural Learning (SNL-2017) Organizing Committee Committee Member IEEE SPS Machine Learning for Signal Processing Technical Committee Committee Member Interspeech2017 Odyssey The Speaker and Language Recognition Workshop [ ] [ ] STM2016&CSM2016 ( UCL) GCP workshop ( ) NOE 89

93 Matsue K. * Rigorous numerics for fast-slow systems with an explicit multi-scale parameter range via the Covering-Exchange The 11th AIMS Conference on Dynamical Systems Differential Equations and Applications Matsue K. * Rigorous numerics of blow-up solutions for ODEs The 11th AIMS Conference on Dynamical Systems Differential Equations and Applications * *topological shadowing * Slow manifold * * Slow manifold Takayasu A. * Matsue K. Sasaki T. Tanaka K. Mizuguchi M. and Oishi S. Numerical validation of blow-up solutions for ODEs SCAN Yamamoto N. * Matsue K. and Hiwaki T. Numerical verification of existence of homoclinic orbits in dynamical systems SCAN Matsue K. * Rigorous numerics of global trajectories for fast-slow systems with an explicit range of multi-scale parameter SCAN Matsue K. * Ogurisu O. and Segawa E. Quantum walks on simplicial complexes : an alternative II * * * Matsue K. * What do mathematicians question? - a personal thought - I2CNER Institute Interest Seminar Series Matsue K. * An outlook of blow-up solutions from the viewpoint of dynamical systems I2CNER Annual Symposium * An outlook of finite-time singularity from the viewpoint of dynamical systems JST Hiraoka Y. Nakamura T. Hirata A. Escolar E. G. Matsue K. and Nishiura Y. Hierarchical structures of amorphous solids characterized by persistent homology Proceedings of the National Academy of Sciences of the United States of America 113(26) Matsue K. Ogurisu O. and Segawa E. Quantum walks on simplicial complexes Quantum Information Processing

94 Optimization of the first eigenvalue of the heat diffusion in inhomogeneous media: Global well-posedness of the viscous approximation problems RIMS Kokyuroku Bessatsu B54(3) Matsue K. Rigorous numerics for fast-slow systems with one-dimensional slow variable: topological shadowing approach Topological Methods in Nonlinear Analysis Takayasu A. Matsue K. Sasaki T. Tanaka K. Mizuguchi M. and Oishi S. Numerical validation of blow-up solutions for ordinary differential equations Journal of Computational and Applied Mathematics Matsue K. Hiwaki T. and Yamamoto N. On the construction of Lyapunov functions with computer assistance Journal of Computational and Applied Mathematics Hirata A. Matsue K. and Chen M. W. Structural analysis of metallic glasses with computational homology Springer ( ) ( ) ( ) ( ) ( ) ( ) The 11th AIMS Conference on Dynamical Systems Differential Equations and Applications ( ) SCAN2016 ( ) ( ) A Newton * Exchangeable combinatorial structures and the A-hypergeometric system associated with the rational normal curve Mano S. * Exchangeable random structures and the A-hypergeometric system associated with the rational normal curve Workshop: Algebraic Statistics and Symbolic Computation * A Mano S. * Exchangeable combinatorial structures and their statistical inferences Yonsei Statistical Science Institute Seminar Korea * * Mano S. * and KAGRA Collaborations Diagnosis of gravitational wave interferometer by ikagra glitch data with Dirichlet process mixture model The 5th annual symposium of the innovative area New development in astrophysics through multimessenger observations of gravitational wave sources Kyoto Japan KAGRA Collaborations * Status of KAGRA detector characterization Mno S. * Multiplicative measures on Partitions and A-hypergeometric system ISI-ISM-ISSAS Joint Conference Delhi India * A

95 Yamamoto K. Hayama K. Mano S. Itoh Y. and Kanda N. Characterization of non-gaussianity in gravitational wave detector noise Physical Review D doi: /physrevd Griffiths R. and Mano S. The star-shaped Lambda-coalescent and Fleming-Viot process Stochastic Models doi: / Mano S. The A-hypergeometric system of associated with the rational normal curve and exchangeable structures Research Memorandum Yuzurihara H. Hayama K. Mano S. Verkindt D. and Kanda N. Unveiling linearly and nonlinearly correlated signals between gravitational wave detectors and environmental monitors Physical Review D doi: /physrevd Mano S. Extreme sizes in the Gibbs-type exchangeable random partitions Annals of the Institute of Statistical Mathematics doi: /s ( ) ( (C)) ( (B)) ( ) ( ) ( ) ( ) ( ) ( (B)) ( ) ( ) KAGRA (II) ( ) ( ) (VI) ( ) ( ) ( ) ISI-ISM-ISSAS Joint conference ( ) [ Kwangmin Lee] II [ ] [ Youngseon Lee] ( ) Associate Editor 92

96 GeoGebra GeoGebra GeoGebra ( ) ( ) CREST ( ) ISMS Yakubo K. * and Mizutaka S. Cascading failures by fluctuating loads in scale-free networks NetSci2016 Seoul Korea Tanizawa T. * and Mizutaka S. Exact calculation of robustness properties of correlated bimodal networks NetSci2016 Seoul Korea * * Mizutaka S. and Tanizawa T. Robustness analysis of bimodal networks in the whole range of degree correlation Physical Review E doi: /physreve Net Sci 2016 ( ) 93

97 Minami K. * Anonymization and location privacy 2016 International Workshop on Spatial and Temporal Modeling from Statistical Machine Learning and Engineering perspectives (STM2016) Tokyo Japan * 2016 (CSS2016) * Gao J * Yamagata Y. Murakami D. Minami K. Arizumi N. Kuroda S. Tanjo T. and Maruyama H. Electricity self-sufficient community clustering for energy resilience Energies 9(7) doi: /en Minami K. Tanjo T. Arizumi N. Maruyama H. Murakami D. and Yamagata Y. Resilient Community Clustering: A Graph Theoretical Approach Springer Germany Schwind N. Minami K. Maruyama H. Leena I. and Inoue K. Computational Framework of Resilience Springer Germany Vol ( (C)) Privacy in Statistical Databases 2016 ( ) The International Conference for High Performance Computing Networking Storage and Analysis 2016 SC16 ( ) 2 ( ) 2 (PWS2016) [] CSM ISMS 94

98 H * H 60 SCI Miyasato Y. * Adaptive H consensus control of multi-agent systems on directed graph by utilizing neural network approximators 12th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP 2016) Netherlands * H Miyasato Y. * Adaptive H consensus control of Euler-Lagrange systems on directed network graph IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) Greece * Euler-Lagrange H Miyasato Y. Adaptive H consensus control of multi-agent systems on directed graph by utilizing neural network approximators Proceedings of 12th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP 2016) IFAC-Papers OnLine 49(13) doi: /j.ifacol Miyasato Y. Adaptive H consensus control of Euler-Lagrange systems on directed network graph Proceedings of IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) doi: /ssci Miyasato Y. Inverse optimal and asymptotically stable adaptive consensus control of multi-agent systems based on H control criterion SICE Journal of Control Measurement and System Integration (JCMSI) 10(1) doi: /jcmsl ( (C)) SICE SICE ( SICE ) Netherlands 12th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP 2016) ( ) Greece IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) ( ) Asian Journal of Control Associate Editor IFAC (International Federation of Automatic Control) Automatica Associate Editor IFAC (International Federation of Automatic Control) TC1.2 Adaptive and Learning Systems Member The 48th ISCIE International Symposium on Stochastic Systems Theory and Its Applications Organizing Committee 95

99 3 ( ) ISMS * * NIRS Oke Y. * Miwakeichi F. Oku Y. Besser S. Hirrlinger J. and Hülsmann S. Rhythmic activation patterns of excitatory/inhibitory inspiratory neurons in the pre- Bötzinger complex of the mice medulla slice Oku Y. Fresemann J. Miwakeichi F. and Hülsmann S. Respiratory calcium fluctuations in low-frequency oscillating astrocytes in the pre-botzinger complex Respiratory Physiology & Neurobiology doi: /j.resp Lal A. Oku Y. Someya H. Miwakeichi F. and Tamura Y. Emergent network topology within the respiratory rhythm-generating kernel evolved in silico PLoS One 6;11(5) e doi: /journal.pone ( (B)) ( ) ( ) ( )

100 ( ) ( ) ( ) ( ) ( FD WG ) Attamimi M. Ando Y. Nakamura T. Nagai T. Mochihashi D. Kobayashi I. and Asoh H. Learning word meanings and grammar for verbalization of daily life activities using multilayered multimodal latent Dirichlet allocation and Bayesian hidden Markov models Advanced Robotics 30(11-12) Nakano T. Mochihashi D. Yoshii K. and Goto M. Musical typicality: How many similar songs exist? ISMIR ( (B)) ( ) ( ) Hyper Suprime-Cam Tomo-e Gozen * Tomo-e Gozen * Tomo-e Gozen Morii M. * Ikeda S. Ohsawa R. and Sako S. Data Compression for optical movie data of the Tomo-e Gozen ADASS XXVI Trieste Italy Morii M. * Yamaoka H. Mihara T. Matsuoka M. and Kawai N. Search for soft X-ray flashes at the ignition phase of optical novae using GSC data 7 years of MAXI * Tomo-e Gozen 3.8m Malacaria C. Mihara T. Santangelo A. Makishima K. Matsuoka M. Morii M. and Sugizaki M. Probing the stellar wind environment of Vela X-1 with MAXI Astronomy & Astrophysics 588 A100 doi: / /

101 Negoro H. and Morii M. The MAXI/GSC Nova-Alert System and results of its first 68 months Publications of the Astronomical Society of Japan 68 S1 doi: /pasj/psw Morii M. Yamaoka H. Mihara T. Matsuoka M. and Kawai N. Search for soft X-ray flashes at the fireball phase of classical/recurrent novae using MAXI/GSC data Publications of the Astronomical Society of Japan 68 S11 doi: / pasj/psw Takagi T. Mihara T. Sugizaki M. Makishima K. and Morii M. Application of the Ghosh & Lamb relation to the spin-up/down behavior in the X-ray binary pulsar 4U Publications of the Astronomical Society of Japan 68 S13 doi: /pasj/psw Sako S. Development of a prototype of the Tomo-e Gozen wide-field CMOS camera Proceedings of the SPIE P doi: / Ohsawa R. and Morii M. Development of a real-time data processing system for a prototype of the Tomo-e Gozen wide field CMOS camera Proceedings of the SPIE doi: / Tsuboi Y. and Morii M. Large X-ray flares on stars detected with MAXI/GSC: A universal correlation between the duration of a flare and its X-ray luminosity Publications of the Astronomical Society of Japan doi: /pasj/psw Morii M. Ikeda S. Tominaga N. Tanaka M. Morokuma T. Ishiguro K. Yamato J. Ueda N. Suzuki N. Yasuda N. and Yoshida N. Machine-learning selection of optical transients in the Subaru/Hyper Suprime-Cam survey Publications of the Astronomical Society of Japan doi: /pasj/psw Morii M. Ikeda S. Sako S. and Ohsawa R. Data compression for the Tomo-e Gozen using low-rank matrix approximation The Astrophysical Journal doi: / /835/1/ Statistical Challenges in Modern Astronomy VI ( ) ADASS XXVI 2016 ( ) 10% Web *1 CRD *2 CRD * * * * * * A new approach of micro-data analysis through international cooperation The 8th International Workshop on Analysis of Micro Data of Official Statistics * *

102 * Web * Tanoue Y. Kawata A. and Yamashita S. Forecasting loss given default of bank loans with multi-stage model International Journal of Forecasting ( (B)) CRD 1600 LGD 5 10 (NICT ) ( ) ( ) ( (B)) ( ) ( ) ( (S)) ( ) ( ) ( (A)) ( ) ( ) (JICA) (JBIC) CRD [ ] ISMS NOE 99

103 * A Bayesian approach to computational materials discovery MI2I * * * * Yoshida R. * Ikebata H. Hongo K. Maezono R. and Isomura T. A Bayesian algorithm for finding novel small organic molecules Seventh Joint Sheffield Conference on Chemoinformatics SHEFFIELD * 3 MI2I * Chien-Yu Peng Wu S. * C * * * Ikebata H. * Hongo K. Isomura T. Maezono R. and Yoshida R. Bayesian design of bioactive molecules with a chemical language model 5 IIBMP Wu S. * Tokunaga T. Hirose O. Toyoshima Y. Teramoto T. Iwasaki Y. Ishihara T. Iino Y. and Yoshida R. Whole brain imaging of caenorhabditis elegans machine learning 5 IIBMP Wu S. * Tokunaga T. Hirose O. Toyoshima Y. Teramoto T. Iwasaki Y. Ishihara T. Iino Y. and Yoshida R. A machine learning pipeline for whole brain imaging of Caenorhabditis elegans: cell tracking quantification annotation and visualization BioImage Informatics Conference * * Inverse design of functional materials through computer experiments and machine learning ISM-ZIB-IMI Joint Workshop on Optimization and Data-intensive High Performance Computing * * H * Inverse design of functional materials through computer experiments and machine learning Simulations 100

104 Encounter with Data Science Data Assimilation Emulators Rare Events and Design * Toyoshima Y. Tokunaga T. Hirose O. Kanamori M. Teramoto T. Jang M. S. Kuge S. Ishihara T. Yoshida R. and Iino Y. Accurate automatic detection of densely distributed cell nuclei in 3D space PLoS Computational Biology 12(6) e doi: /journal.pcbi (9) ( ) ( (B)) ( JST ) ( JST (CREST)) ( ) ( ) 5 ( ) Stephen Wu ( ) Whole Brain Imaging of Caenorhabditis Elegans Machine Learning 5 ( ) ( ) Bayesian design of bioactive molecules with a chemical language model ( ) ( ) () ( ) () ( ) Seventh Joint Sheffield Conference on Chemoinformatics SHEFFIELD 2016 ( ) BioImage Informatics Conference 2016 ( ) UCLA Synergies between Machine Learning and Physical Models ( ) JST-CREST JST MI2I 101

105 Yoshino R. * Cultural Manifold Analysis (CULMAN): Trust of nations ICP2016 Yokohama ( ) Yokohama Yoshino R. * On the longitudinal & cross-national comparative surveys by the ISM Survey Science Seminar (special for postdoc researcher from Germany & Britain) Tachikawa * * DS Yoshino R. Cultural Manifold Analysis (CULMAN): Trust of nations Abstract of ICP2016 OR ( (C)) ( ) ( ) (International Statistical Institution) Social Survey WAPOR( ) 2016ICP NHK 102

106 [ ] [ ] ( ) ( ) ISMS NOE * Econometric techniques for ecological risks and sustainability certificate International Workshop on Quantitative Analysis for Ecological Risks and Sustainability Certificate Quantitative analysis for ecological risks and sustainability certification: Application of R software in natural and social sciences Bandar Lampung Indonesia * Inter-temporal spatial aggregation for forest harvest scheduling within the discrete optimization framework International symposium FORMATH HIROSHIMA Chhetri B. B. K. Asante P. and Yoshimoto A. Forest dependence and inequality: An empirical study from community forests in Kaski Nepal FORMATH doi: /formath Kamo K. Konoshima M. and Yoshimoto A. Statistical analysis of tree-forest damage by snow and wind: Logistic regression model for tree damage and Cox regression for tree survival FORMATH doi: /formath Yoshimoto A. Asante P. and Konoshima M. Stand-level forest management planning approaches Current Forestry Reports doi: /s ( ) ( ) ( ) ( ) Cambodia ( ) Portugal ( ) Vietnam ( ) 103

107 Nepal ( ) Portugal ( ) Cambodia ( ) Indonesia ( ) Cambodia ( ) FORMATH Joint International Symposium By Japan Korea and Taiwan - Sustainable Forest Ecosystem Management in Rapidly Changing World - () International Symposium FORMATH HIROSHIMA ( ) Integration of a language processing model with linear and non-linear machine learning models for the creation of organic molecules with their physical properties predictions in the iqspr R package. Statistical experimental design setup with iqspr and DFT computations using the ism-a supercomputer. Inverse design of novel materials using the state-of-the-art of machine learning and Bayesian statistical inference (National Institute for Materials Science (NIMS)) ( ) SHEFFIELD 2016 ( ) Machine Learning Meets Many-particle Problems ( ) UCLA Synergies between Machine Learning and Physical Models Alan Aspuru Guzki ( ) In this work we extract differential structural information from high dimensional data using probabilistic graphcial models. * Structure learning of partitioned Markov Networks International Conference of Machine Learning (ICML) New York City U.S.A Liu S. Suzuki T. Sugiyama M. and Fukumizu K. Structure learning of partitioned Markov Networks Proceedings of The 33rd International Conference on Machine Learning 48(1)

108 Liu S. Fukumizu K. and Suzuki T. Learning sparse structural changes in high-dimensional Markov Networks A review on methodologies and theories Behaviormetrika 44(1) Onsite Transfer Learning ( ) Learning and comparing patterns so that patterns learned from one task can be reused for another similar task SIAM International Conference on DATA MINING ( ) ICML 2016 COLT 2016 UAI 2016 ( ) NIPS 2016 ( ) 2017 Probabilistic Graphical Model Workshop: Structure Sparsity and High-dimensionality ( ) Web * * * * * * Web * Watanabe H. Sano Y. Takayasu H. and Takayasu M. Statistical properties of fluctuations of time series representing the appearance of words in nationwide blog data and their applications: An example of observations and the modelling of fluctuation scalings of nonstationary Physical Review E 94 5 doi: /physreve

109 * Ishigaki T. * Toward an overall optimization of marketing resource allocation in big-data environment International Workshop on Marketing Science and Service Research * * Web * AI * * (6) ( )

110 P 2000 * Improved estimation of temporal variation in earthquake detectability with time-dependent smoothness constraint 2016 Seismological Society of America (SSA) Annual Meeting * P * M6 7b * A Statistical approach to estimate a spatial stress pattern from P-wave first motion polarity data : its development and a numerical simulation International Symposium: Crustal Dynamics * P * A Bayesian approach to estimate a spatial stress pattern from P-wave first motion polarities 2016 American Geophysical Union Fall Meeting * P * Mixture of a rate- and state-dependent seismicity and the ETAS models and its application to earthquake swarms The 10th International Workshop on Statistical Seismology ( (C)) ( ) ( ) ( (A)) ( ) ( ) ( ( )) ( ) ( ) Earth Planets and Space Development of analysis of multivariate data on categorical (or: mixed) variables. In particular cluster analysis methods for analysing such data. In addition inverse MCA problems. Given low-dimensional solutions is it possible to retrieve the underlying data. By combining results from linear algebra and integer programming methods we try to retrieve a contingency (Burt) matrix based on a low-dimensional (multiple) correspondence analysis solution. Van de Velden M. * Going Dutch with categorical data ISM Tokyo Japan Van de Velden M. * Inverse multiple correspondence analysis COMPSTAT 2016 Oviedo Spain Van de Velden M. * Inverse multiple correspondence analysis ISM Tokyo Japan

111 ISI-ISM-ISSAS Joint Conference Ueki M. * and Tamiya G. Smooth-threshold multivariate genetic prediction with unbiased model selection The 13th International Congress of Human Genetics Ueki M. * and Tamiya G. Smooth-threshold multivariate genetic prediction with unbiased model selection 2016 International Conference for JSCS 30th Anniversary in Seattle Ueki M. * and Tamiya G. Smooth-threshold multivariate genetic prediction with unbiased model selection Annual Meeting of the American Society for Human Genetics * Smooth-threshold multivariate genetic prediction with unbiased model selection Ueki M. * Rapid and accurate genetic predictive modelling for large-scale genetic study ISI-ISM-ISSAS Joint Conference Ueki M. and Tamiya G. Smooth-threshold multivariate genetic prediction with unbiased model selection Genetic Epidemiology 40(3) doi: /gepi ( (A)) ( ) ( ) ( (C)) ( ) ( ) () 2016 ( ) ( ) ü Machine Learning Algorithms are very powerful tool in non-parametric statistics for detecting structure and for improving parametric statistical models. We use thiese methods to improve several model in actuarial science. Wüthrich M. V. * Tutorial on cash flow valuation Spatial and Temporal Modeling Workshop at ISM Tokyo Japan Wüthrich M. V. * Incomplete market pricing and catastrophe insurance National Institute for Environmental Studies Tsukuba University Tsukuba Japan

112 Wüthrich M. V. * New challenges in car insurance pricing Nagoya University Nagoya Japan We analyze and model Japanese seismicity using geologic and geodetic constraints to understand the underlying physical processes like static and dynamic triggering slow-slip events and fluid migration. This information is integrated into forecasting models to better assess the seismic hazard. Tormann T. Wiemer S. Enescu B.* and Woessner J. Evolution of earthquake rupture potential along the Pacific plate off Japan inferred from seismicity Japan Geoscience Union (JpGU) Joint Meeting Makuhari Chiba Japan Enescu B. * Shimojo K. Opris A. and Yagi Y. Remote triggering of seismicity at Japanese volcanoes following the 2016 M7.3 Kumamoto earthquake Seismological Society of Japan (SSJ) Fall Meeting Nagoya Japan Yagi Y. * Okuwaki R. Enescu B. Kasahara A. Miyakawa A. and Otsubo M. Rupture process of the 2016 Kumamoto earthquake in relation with the thermal structure around Aso volcano Americal Geophysical Union (AGU) Fall Meeting San Francisco U.S.A Reverso T. Marsan D. Helmstetter A. and Enescu B. Background seismicity in Boso Peninsula Japan: Long-term acceleration and relationship with slow slip events Geophysical Research Letters doi: /2016gl Kasahara A. Yagi Y. and Enescu B. etas_solve: A robust program to estimate the ETAS model parameters Seismological Research Letters doi: / Tormann T. Wiemer S. Enescu B. and Woessner J. Normalized rupture potential for small and large earthquakes along the Pacific Plate off Japan Geophysical Research Letters doi: /2016gl Yagi Y. Okuwaki R. Enescu B. Kasahara A. Miyakawa A. and Otsubo M. Rupture process of the 2016 Kumamoto earthquake in relation to the thermal structure around Aso volcano Earth Planets and Space doi: /s Omi T. Ogata Y. Shiomi K. Enescu B. Sawazaki K. and Aihara K. Automatic aftershock forecasting: A test using real time seismicity data in Japan Bulletin of the Seismological Society of America 106(6) 2450 doi: / Enescu B. Shimojo K. Opris A. and Yagi Y. Remote triggering of seismicity at Japanese volcanoes following the 2016 M7.3 Kumamoto earthquake Earth Planets and Space doi: /s Zakharova O. Hainzl S. Lange D. and Enescu B. Spatial variations of aftershock parameters and their relation to geodetic slip models for the 2010 Mw8.8 Maule and the 2011 Mw9.0 Tohoku-oki earthquakes Pure and Applied Geophysics 174(1) doi: /s

113 Granger * * Ono T. * Default number prediction by financial/economic index and Granger s causaliyu among index U.S.market) 28th Asian-Pasific Conference on International Accounting Issues Maui Hawaii CFA * * (3)

114 * * * ( (B)) ( ) ( ) 3 ( ) SAICM 2020 Zhu Z. * Yairo M. Miho S. and Kameya T. Simultaneous analytical method for PPCPs in river water using SPE and LC/ESI-MS/MS Water and Environment Technology Conference 2016 (WET2016) Miho S. * Kameya T. Kobayashi T. and Fujie K. Applicable range of GC/MS AIQS-DB method for simultaneous measuring Japanese PRTR chemicals and ecotoxicity chemicals in river water Water and Environment Technology Conference 2016 (WET2016) * PRTR PPCPs * PPCPs LC/MS/MS * * * GC/MS PRTR * * GC/MS

115 Kamo K. * Tonda T. and Satoh K. Estimating regression coefficients including nuisance baseline and its applications The 4th institute of mathematical statistics asia pacific rim meeting Kamo K. * Regression model approach for evaluating forest growth IUFRO International Symposium FORCOM/SFEM/ * Kamo K. Konoshima M. and Yoshimoto A. Statisitcal analysis of tree forest damage by snow and wind: logistic regression model for tree damage and Cox regression for tree survival FORMATH doi: /formath ( ) ( ) Kawano S. * Fujisawa H. Takada T. and Shiroishi T. A one-stage approach for principal component regression via L1-type regularization 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting * * * Kawano S. * Fujisawa H. Takada T. and Shiroishi T. A one-stage principal component regression method with sparse regularization 2016 The Chinese Statistical Association & National Chengchi University Joint Statistical Meetings Ninomiya Y. and Kawano S. AIC for the lasso in generalized linear models The Electronic Journal of Statistics 10(2) doi: /16-ejs

116 Kikuzawa S. Pescosolido B. Kiritani M. * Matoba T. Yamaki C. Sugiyama K. and Yamazaki T. Cultural constraints for mental health care in Japan: Patterns and correlates ISA International Forum of Sociology Wien Austria * (2) d4pdf * * * * * B1 73(4) I_1-I_ OES ( )

117 SSP Kikkawa T. Social Mentality in Contemporary Japan: Quantitative Social Consciousness Studies Osaka Univeristy Press Osaka 2016 () ( ) ( ) SIML * SWET * The simultaneous multivariate Hawkes-type point processesand their application to financial markets ( ) * Kubota T. * Visualizing and exploratory data analysis for small area suicide data International Workshop for JSCS 30th Anniversary ( (C)) ( ) ( ) 114

118 Ulrich W. Kusumoto B. Shiono T. and Kubota Y. Climatic and geographic correlates of global forest tree species abundance distributions and community evenness Journal of vegetation science 27(2) Kubota Y. Kusumoto B. Shiono T. and Tanaka T. Phylogenetic properties of Tertiary relict flora in the East Asian continental islands: imprint of climatic niche conservatism and in situ diversification Ecography doi: /ecog Kusumoto B. Baba A. Fujii S. Fukasawa H. Honda M. Miyagi Y. Nanki D. Osako T. Shinohara H. Shiono T. and Kubota Y. Dispersal process driving subtropical forest reassembly: evidence from functional and phylogenetic analysis Ecological Research 31(5) Ulrich W. Baselga A. Kusumoto B. Shiono T. Tuomisto H. and Kubota Y. The tangled link between and diversity: a Narcissus effect weakens statistical inferences in null model analyses of diversity patterns Global Ecology and Biogeography 26(1) Kernel methods are used to represent probabilities. Densities are fit using infinite dimensional exponential families whose parameters are RKHS functions with application to adaptive Hamiltomian Monte Carlo. Hypothesis tests of homogeneity and independence are developed for time series. Efficient linear time tests are proposed. Gretton A. * Kernel methods Machine learning summer school Cadiz Cadiz Spain Gretton A. * Kernel statistical tests for random processes International Society for Nonparametric Statistics Avignon France Gretton A. * Kernel methods Machine learning summer school Peru Arequipa Peru Gretton A. * Optimized features for distribution comparison NIPS Barcelona Spain Gretton A. * Learning interpretable features to compare distributions ISM Tokyo Japan Kanagawa M. Nishiyama Y. Gretton A. and Fukumizu K. Filtering withstate-observation examples via kernel Monte Carlo filter Neural Computation 28(2) Bounliphone W. Belilovsky E. Blaschko M. Antonoglou I. and Gretton A. A test of relative similarity for model selection in generative models International Conference on Learning Representations Muandet K. Sriperumbudur B. Fukumizu K. Gretton A. and Schoelkopf B. Kernel mean shrinkage estimators Journal of Machine Learning Research 17(48) Chwialkowski K. Strathmann H. and Gretton A. A kernel test of goodness of fit International Conference on Machine Learning Rubenstein P. Chwialkowski K. and Gretton A. A kernel test for three- variable interactions with random processes Uncertainty in Artificial Intelligence Weichwald S. Grosse-Wentrup M. and Gretton A. Merlin: Mixture effect recovery in linear networks IEEE Journal of Selected Topics in Signal Processing 10(7) Szabo Z. Sriperumbudur B. Poczos B. and Gretton A. Learning theory for distribution regression Journal of Machine Learning Research 17(152) Jitkrittum W. Szabo Z. Chwialkowski K. and Gretton A. Interpretable distribution features with maximum testing power 115

119 Advances in Neural Information Processing Systems Zhang Q. Filippi S. Gretton A. and Sejdinovic D. Large-scale kernel methods for independence testing Statistics and Computing doi: /s Japan Research collaboration and seminar ( ) Cambodia ( ) * * * Asymmetric logistic regression model The International Conference on Bioinformatics and Biostatistics for Agriculture Health and Environment Tsujimoto M. Komori O. and Imura S. Effect of lifespan and age on reproductive performance of the tardigrade Acutuncus antarcticus: minimal reproductive senescence Hydrobiologia Okuma H. Koizumi F. Hirakawa A. Nakatochi M. Komori O. Hashimoto J. Kodaira M. Yunokawa M. Yamamoto H. Yonemori K. Shimizu C. Fujiwara Y. and Tamura K. Clinical and microarray analysis of breast cancers of all subtypes from two prospective preoperative chemotherapy studies British Journal of Cancer Omae K. Komori O. and Eguchi S. Reproducible detection of disease-associated markers from gene expression data BMC Medical Genomics (JST CREST) ( ) ( ) ( (B)) ( ) ( ) () ( ) ( ) ( (B)) ( ) ( ) ( ) ( ) ( ) ( ) 116

120 SIML * * Miyatsu K. * and Sato T. Modeling of relationship between mental accounting and purchase behaviors: Proposal of hierarchical Bayesian threshold poisson regression model International Workshop on Marketing Science and Service Research Inoue T. * and Sato T. Market response analysis using distributed lag model with time-varying coefficients International Workshop on Marketing Science and Service Research * : 44(3) (1)

121 Sato Y. * Exploring moving mechanism between forward-looking and backward-looking rational actions: toward a meta rational choice theory : 31(2) alpha-divergence n n -2 PC Shinano Y. * Achterberg T. Berthold T. Heinz S. Koch T. and Winkler M. How to solve open MIP instances by using supercomputers with over cores 17th SIAM Conference on Parallel Processing for Scientific Computing: High Performance Computing Paris France Shinano Y. * Achterberg T. Berthold T. Heinz S. Koch T. and Winkler M. Solving open MIP instances with ParaSCIP on supercomputers using up to cores 30th IEEE International Parallel & Distributed Processing Symposium Chicago U.S.A Yokoyama R. * and Shinano Y. Recent advances in optimal design of distributed energy systems 2nd International Conference of Skoltech Center for Energy Systems organized jointly with International Institute for Energy Systems Integration Moscow Russia Shinano Y. * Towards using over a million CPU cores to solve previously unsolved mixed integer programming problem instances OR Shinano Y. * Berthold T. and Heinz S. A first implementation of ParaXpress: Combining internal and external parallelization to solve MIPs on supercomputers The 5th International Congress on Mathematical Software Berlin Germany Rehfeldt D. * and Shinano Y. Massively parallel solution of mixed-integer energy system models by distributed branch-and-bound Prague Energy Days 2016 Prague Czech Republic Shinano Y. * Berthold T. and Heinz S. ParaXpress: A massively parallelized MIP solver designed to run on the largest supercomputers INFORMS Annual Meeting Nashville U.S.A Shinano Y. * Munguia L. -M. Oxberry G. M. and Rajan D. ug[pips-sbb MPI]: A massively parallel branch-and-bound solver for stochastic mixed-integer programs INFORMS Annual Meeting Nashville U.S.A Yokoyama R. * and Shinano Y. A hierarchical mixed-integer linear programming method with parallel computing for optimal design of distributed energy systems ISM-ZIB-IMI Joint Workshop on Optimization and Data-intensive High-Performance Computing Tokyo Japan Shinano Y. * Munguia L. -M. Oxberry G. M. and Rajan D. Solving extremely large scale stochastic mixedinteger problems on distributed memorycomputing environments ISM-ZIB-IMI Joint Workshop on Optimization and Data-intensive High-Performance Computing Tokyo Japan

122 Shinano Y. Achterberg T. Berthold T. Heinz S. Koch T. and Winkler M. Solving open MIP instances with ParaSCIP on supercomputers using up to cores Parallel and Distributed Processing Symposium 2016 IEEE International Yokoyama R. Nakamura R. Wakui T. and Shinano Y. Evaluation of performance robustness of a gas turbine cogeneration plant based on a mixed-integer linear model ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition GT V003T20A003; 9 doi: /gt Shinano Y. Berthold T. and Heinz S. A first implementation of ParaXpress: Combining internal and external parallelisation to solve MIPs on supercomputers Mathematical Software - ICMS Ralphs T. Shinano Y. Berthod T. and Koch T. Parallel solvers for mixed integer linear programing COR@L Technical Report 16T-014-R Maher S. J. Fischer T. Gally T. Gamrath G. Gleixner A. Gottwald R. L. Hendel G. Koch T. Lübbecke M. E. Miltenberger M. Müller B. Pfetsch M. E. Puchert C. Rehfeldt D. Schenker S. Schwarz R. Serrano F. Shinano Y. Weninger D. Witt J. T. and Witzig J. The SCIP optimization suite 4.0 ZIB-Report (JST CREST) ( ) ( ) ISM-ZIB-IMI Joint Workshop on Optimization and Data-intensive High-Performance Computing ( ISM ZIB IMI) ISM AIC CPI X13-ARIMA-SEATS X11 SEATS * Gerber-Shiu Zheng Y. and Shimziu Y. * Simulation-based inference for the finite-time ruin probability of a surplus with long-memory The 20th International congress on Insurance: Mathematics and Economics Atlanta U.S.A * Dynamic risk measures for stochastic asset processes from ruin theory Shimziu Y. * Applications of central limit theorems for equity-linked insurance ASC2017: Asymptotic Statistics and Computations Shimziu Y. * Applications of central limit theorems for equity-linked insurance Waseda International Symposium Feng R. and Shimizu Y. Applications of central limit theorems for equity-linked insurance Insurance: Mathematics and Economics doi: /j.insmatheco

123 ( (A)) ( ) ( ) A statistical scheme to estimate the probabilities of having extreme earthquakes above a certain magnitude is proposed. The Bayesian predictive distribution for the magnitude of the expected largest event is derived using the extreme value theory and the Bayesian statistics. Several prominent past earthquake sequences are analyzed. Shchebakov R. * The statistics and physics of aftershocks Earthquake Research Institute University of Tokyo Tokyo Japan Shchebakov R. * Zhuang J. and Ogata Y. The magnitude of the extreme aftershock StatSei10 Wellington New Zealand ý The aim of the research is to develop new techniques based on available and existing smart devices for acquisition of data from forests and forestry. Surovy P. Yoshimoto A. and Panagiotidis D. Accuracy of reconstruction of the tree stem surface using terrestrial close-range photogrammetry Remote Sensing 8(2) 123 doi: /rs ç In this research we develop efficient Bayesian statistical models and advanced computational methods for the estimation and the reconstruction of complex spatial fields given a set of noisy observations. Septier F. J. M. * Sequential Markov Chain Monte Carlo for Bayesian filtering with massive data CSM 2015 ISM Tokyo Japan Carmi A. Mihaylova L. and Septier F. Subgradient-based Markov Chain Monte Carlo particle methods for discrete-time nonlinear filtering Signal Processing doi: /j.sigpro Nevat I. Peters G. W. Avnit K. Septier F. and Clavier L. Location of things: Geospatial tagging for IoT using time-of-arrival IEEE transactions on Signal and Information Processing over Networks 2(2) doi: /tsipn Septier F. and Peters G. W. Langevin and Hamiltonian based Sequential MCMC for efficient Bayesian filtering in high-dimensional spaces IEEE Journal of Selected Topics in Signal Processing 2016 doi: /jstsp Nguyen T. L. T. Septier F. Peters G. W. and Delignon Y. Efficient Sequential Monte-Carlo samplers for Bayesian inference IEEE Transactions on Signal Processing 2016 doi: /tsp Nguyen T. L. T. Septier F. Rajaona H. Peters G. W. Nevat I. and Delignon Y. A Bayesian perspective on multiple source localization in wireless sensor networks IEEE Transactions on Signal Processing 2016 doi: /tsp

124 United Kingdom Research collaboration with Dr. G.W. Peters and Prof. T. Matsui ( ) * * SSI * SSI * Lp 3 SSI * PMCMC SSI * Web Suzuki S. and Takahashi K. Inspection of the validity in the frequent shoppers program by using particle filter Operations Research Proceedings (2) ( )

125 von Mises * ( ( )) Takemura A. * Hashiguchi H. and Takayama N. Holonomic gradient method for hypergeometric functions of a matrix argument Applications of Algebraic Methods to Statistics Takemura A. * Multivariate distribution theory by holonomic gradient method the 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting Takemura A. * Use of asymptotics for holonomic gradient method RIMS workshop Algebraic Statistics and Symbolic Computation * ARMA Sato R. Miyabe K. and Takemura A. * Relation between the rate of convergence of strong law of large numbers and the rate of concentration of Bayesian prior in game-theoretic probability Takemura A. Exponential decay rate of partial autocorrelation coefficients of ARMA and short-memory processes Statistics and Probability Letters doi: /j.spl Siriteanu C. Kuriki S. Richards D. and Takemura A. Chi-square mixture representations for the distribution of the scalar Schur complement in a noncentral Wishart matrix Statistics and Probability Letters doi: /j.spl Siriteanu C. Takemura A. Koutschan C. Kuriki S. Richards D. and Shin H. Exact ZF analysis and computer-algebra- aided evaluation in rank-1 LoS Rician fading IEEE Transactions on Wireless Communications doi: / TWC

126 Takahashi K. Tachimori H. Kan C. Nishi D. Okumura Y. Kato N. and Takeshima T. Spatial analysis for regional behavior of patients with mental disorders in Japan Psychiatry and Clinical Neurosciences doi: /pcn Vol Vol Vol Tsukahara H. * Evaluating capital allocation with distortion risk measures 1st Seoul-Tokyo-Stanford workshop on Financial Statistics and Risk Management Segers J. Sibuya M. and Tsukahara H. * The empirical beta copula Salzburg Workshop on Dependence Models & Copulas Segers J. Sibuya M. and Tsukahara H. * The empirical beta copula International Conference on Statistical Distributions and Applications (ICOSDA) Tsukahara H. * Some applications of distortion risk measures TMU Workshop on Financial Mathematics and Statistics Segers J. Sibuya M. and Tsukahara H. * The empirical beta copula 8th International Conference on CFE-CMStatistics Segers J. Sibuya M. and Tsukahara H. The empirical beta copula Journal of Multivariate Analysis doi: /j.jmva CDaR *

127 * Tsuda H. * Ando M. and Ichifuji Y. Hotel plan popularity factor analysis of hotels in the Keihanshin region 2nd International Workshop on Big Data for Sustainable Development 2016 IEEE International Conference on Big Data in Washington D.C. Washington D.C. U.S.A (4) Saito T. Takahashi A. and Tsuda H. Optimal room charge and expected sales under discrete choice models with limited capacity International Journal of Hospitality Management 57 (2016) Hasuike T. Katagiri H. and Tsuda H. A new recommendation system for personal sightseeing route from subjective and objective evaluation of tourism information Information Engineering Express 2(3) Hasuike T. Katagiri H. and Tsuda H. A framework of route recommendation system for sightseeing from subjective and objective evaluation of tourism data Proceedings of 1st International Conference on Business Management of Technology (BMOT2016) Hasuike T. Katagiri H. and Tsuda H. Objective measurement for satisfaction values to sightseeing spots and route recommendation system Proceedings of The 2016 IEEE International Conference on Systems Man and Cybernetics (SMC 2016) Tsuda H. Ando M. and Ichifuji Y. Hotel plan popularity factor analysis of hotels in the Keihanshin region Proceedings of 2nd International Workshop on Big Data for Sustainable Development 2016 IEEE International Conference on Big Data in Washington D.C

128 Chubanov 2 Lourenco B. F. * Muramatsu M. and Tsuchiya T. FRA-Poly: Partial polyhedrality and facial reduction The 5th International Conference on Continuous Optimization Morikuni K. * Cui Y. Tsuchiya T. and Hayami K. Implementation of interior-point methods for LP using Krylov subspace methods preconditioned by inner iterations The 5th International Conference on Continuous Optimization Lourenco B. F. Muramatsu M. and Tsuchiya T. * Solving SDP completely with an interior-point oracle The 5th International Conference on Continuous Optimization * JAMSTEC 3 CEIST Lourenco B. F. * Kitahara T. Muramatsu M. and Tsuchiya T. An extension of Chubanov s algorithm to symmetric cones (2) (10) (3) ( ( )( )) OR ( ( )) Japan Journal of Industrial and Applied Mathematics Associate Editor JST CREST JST Mathematical Optimization Society ICCOPT Steering Committee member ICCOPT 2016 Tokyo Local Organizing Committee co-chair Optimization Methods and Software Senior Editor (Ning Zheng ) The 5th International Conference on Continuous Optimization ( Mathematical Optimization Society) ( ) ( )

129 * * * * * Measuring large scale market responses from POS data-regression for high dimensional sparse data International Workshop on Marketing Science and Service Research () Markov chain Monte Carlo Sequential Monte Carlo. Doucet A. * On pseudo-marginal methods for inference in latent variable models Institute of Mathematical Statistics World Meeting Toronto Canada Doucet A. * On pseudo-marginal methods for inference in latent variable models Monte Carlo and Quasi Monte Carlo Stanford U.S.A Rainforth T. Naesset C. Paiges B. and Doucet A. Interacting particle MCMC International Conference on Machine 126

130 Learning Tomita M. * Current situations on clinical research support and the role of biostatisticians in Japan 2016 International Conference for JSCS 30th Anniversary in Seattle Seattle U.S.A We consider the matrix-normal model with Kronecker-structured covariance matrix. We seek to characterize the minimal sample size required for existence of the maximum likelihood estimator. Drton M. * Regularized score matching for graphical models: Non-Gaussianity and missing data ISM Tachikawa Japan Drton M. * Parameter identification in structural equation models Keio University Yokohama Japan Drton M. * Parameter identification in structural equation models ISM Tachikawa Japan Drton M. * A Bayesian information criterion for singular models Academia Sinica Taipei Taiwan Weihs L. Robinson B. Dufresne E. Kenkel J. Kubjas K. McGee II R. L. Nguyen N. Robeva E. and Drton M. Determinantal generalizations of instrumental variables arxiv arxiv: Taiwan Seminar ( ) Niwayama R. Nagao H. Kitajima T. S. Hufnagel L. Shinohara K. Higuchi T. Ishikawa T. and Kimura A. Bayesian inference of forces causing cytoplasmic streaming in Caenorhabditis elegans embryos and mouse oocytes PLoS ONE 11(7) doi: /journal.pone ( (A)) ( ) ( ) 127

131 28 25 ( (A)) ( ) ( ) choice architecture intervention * Impact of a choice architecture on medical prescription in Japanese national health insurance system Dantzig selector

132 Hara H. * Markov bases for logit models with some designs IMS-APRM The research involves novel theoretical results for gaussian processes alpha stable stochastic processes non-stationary basis expansions in deterministic and stochastic settings. Egan M. Peters G. W. Nevat I. Shirvanimoghaddam M. and Collings I. A ruin theoretic design approach for wireless cellular network sharing with facilities IEEE Transactions on Emerging Telecommunications Technologies doi: /ett Vishnia G. R. and Peters G. W. Overview of blockchain platforms and big data Journal of Financial Transformation Peters G. W. Shevchenko P. V. Hassani B. and Chapelle A. Should AMA be replaced with SMA for operational risk? Journal of Operational Risk 11(3) 1-49 doi: /jop Yan S. Nevat I. Peters G. W. and Malaney R. Location verification systems for VANETs under spatially correlated shadowing IEEE Transactions on Wireless Communications 15(6) Nevat I. Peters G. W. Avnit K. Septier F. and Clavier L. Location of things: GeoSpatial tagging for IoT using time-of-arrival IEEE Transactions on Information Processing over Networks 2(2) doi: /tsipn Peters G. W. Chen W. and Gerlach R. Estimating quantile families of loss distributions for non-life insurance modelling via L-moments Risks (Special Issue on General Insurance) 4(2) 14 doi: /risks Nguyen T. Septier F. Rajaona H. Peters G. W. Nevat I. and Delignon Y. A Bayesian perspective on multiple source localization in wireless sensor networks IEEE Transactions on Signal Processing 64(7) Panayi E. Peters G. W. Danielsson J. and Zigrand J. P. Designating market maker behaviour in limit order book markets Econometrics and Statistics arxiv: Dalesandro A. and Peters G. W. Tensor approximation of generalized correlated diffusions and functional copula operators Methodology and Computing in Applied Probability 1-35 doi: /s Peters G. W. and Panayi E. Understanding Modern Banking Ledgers through Blockchain Technologies: Future of Transaction Processing and Smart Contracts on the Internet of Money. Book chapter in Edited volume on Blockchain Banking Beyond Banks and Money (Tasca P. Aste T. Pelizzon L. and Perony N. (eds.)) Springer 2016 Peters G. W. and Vishnia G. R. Blockchain Architectures for Electronic Exchange Reporting Requirements: EMIR Dodd Frank MiFID I/II MiFIR REMIT Reg NMS and T2S. Book chapter in Handbook of Digital Banking and Internet Finance: Alternative Finance Financial Inclusion Impact Investing and Decentralized Consensus Ledger (David Lee K. C. 129

133 and Deng R. (eds.)) Academic Press 2016 Nachdiplom Lecture Series by ETH Department of Mathematics and Swiss Finance Institute (ETH Department of Mathematics) 2017 Toyoshima Y. Tokunaga T. Hirose O. Kanamori M. Teramoto T. Jang M. S. Kuge S. Ishihara T. Yoshida R. and Iino Y. Accurate automatic detection of densely distributed cell nuclei in 3D space PLoS Computational Biology 12(6) 1-20 doi: /journal.pcbi For more than 70 years empirical processes have been one of the main tools used in understanding the behaviors of goodness-of-fit tests defined via empirical distributions. We explore the usage of the less addressed iterated empirical measures in generalizing the classical goodness-of-fit tests focusing particularly on explicitly solvable cases. Hwang H. -K. * Limiting curves of Stirling ratios with applications 2016 One Day Workshop on Analytic and Enumerative Combinatorics Hsin Chu Taiwan Hwang H. -K. * Generating random permutations by coin-tossing: classical algorithms new analysis and modern implementation 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting Hong Kong China Hwang H. -K. * Periodic oscillations of divide-and-conquer recurrences with balanced part-sizes The 27th International Conference on Probabilistic Combinatorial and Asymptotic Methods for the Analysis of Algorithms Krakow Poland Hwang H. -K. * Nonlinear differential equations in analysis of algorithms Asymptotic Analysis of Algorithms and Combinatorial Structures Paris France Hwang H. -K. * Maxima in multivariate samples and related structures Joint Colloquium: Carleton University and University of Ottawa Ottawa Canada Hwang H. -K. * Limit laws of the coefficients of polynomials with only unit roots Banff Workshop on Analytic and Probabilistic Combinatorics Banff Canada Hwang H. -K. * Periodic oscillations of divide-and-conquer recurrences dividing at half GREYC Laboratoire Caen France Hwang H. -K. * Nonlinear differential equations in analysis of algorithms Shanghai Jiao Tong University Shanghai China Hwang H. -K. * Method of moments in analysis of algorithms: a survey The 10th ICSA International Conference Shanghai China Hwang H. -K. * External profile of symmetric digital search trees ANALCO 2017 Barcelona Spain Fuchs M. Hwang H. -K. and Itoh Y. From coin-tossing to rock-paper-scissors and beyond: A log-exp gap theorem for selecting a leader Journal of Applied Probability

134 Chern H. -H. Fuchs M. Hwang H. -K. and Neininger R. Dependence and phase changes in random m-ary search trees Random Structures and Algorithms doi: /rsa.20659view 2016 Fuchs M. and Hwang H. -K. Dependence between external path-length and size in random tries The 27th International Conference on Probabilistic Combinatorial and Asymptotic Methods for the Analysis of Algorithms Drmota M. Fuchs M. Hwang H. -K. and Neininger R. External profile of symmetric digital search trees (extended abstract) Proceedings of ANALCO Bodini O. Dien M. Fontaine X. Genitrini A. and Hwang H. -K. Increasing diamonds Lecture Notes in Computer Science Bacher A. Bodini O. Hwang H. -K. and Tsai T. -H. Generating random permutations by coin-tossing: classical algorithms new analysis and modern implementation ACM Transactions on Algorithms 13(2) Whittle difference-in-difference P > 0.05 * Abou-Zeid M. and Fujii S. Travel satisfaction effects of changes in public transport usage Transportation 43(2) Hatori T. Fujii S. and Komatsu Y. Vulgarity of the mass man as a predictor of defection Social Behavior and Personality: an international journal 44(1) F4( ) 72(4) I_43-I_ D3 72(5) I_213-I_ Sukor N. S. A. Ari K. M. and Fujii S. Analysis of correlations between psychological factors and self-reported behavior of motorcyclists in Malaysia depending on self-reported usage of different types of motorcycle facility Transportation Research Part F doi: /j.trf Fujii S. Prescription for Social Dilemmas: Psychology for Urban Transportation and Environmental Problems Springer

135 13 * ( (B)) ( ) ( ) * * * * Fujisaki H. * Yonezawa Y. Shiga M. Maragliano L. and Tate S. Exploring reaction pathways for peptidylprolyl- isomerase Biophysical Society Meeting Annual Meeting New Orleans U.S.A *? Fujisaki H. * Ab initio molecular tier model for quantum vibrational dynamics International workshop on numerical methods and simulations for materials design and strongly correlated quantum matters Fujisaki H. * Molecular dynamics simulations and dimensional reduction techniques Simulations Encounter with Data Science: Data Assimilation Emulators Rare Events and Design Fujisaki H. Yagi K. Kikuchi H. Takami T. and Stock G. Vibrational energy transport in acetylbenzonitrile described by an ab initio-based quantum tier model Chemical Physics Simulations Encounter with Data Science: Data Assimilation Emulators Rare Events and Design ( )

136 I have applied earthquake forecasting models (ETAS and kernel models) for Japan seismicity to estimate the rate of seismicity in time space and magnitude. I have also worked on statistical patterns of repeating quakes on glaciers and landslides. Helmstetter A. * Repeating Icequake ERI Tokyo Japan Helmstetter A. * Adaptive smoothing of seismicity in time space and magnitude for long-term and short-term earthquake forecasts in Japan Japan CSEP workshop Tokyo Japan Helmstetter A. * Repeating Icequakes and landquakes ISM Tokyo Japan Helmstetter A. * Adaptive smoothing of seismicity in time space and magnitude for long-term and short-term earthquake forecasts ISM Tokyo Japan

137 Cheng M. -Y. Honda T. and Zhang J. -T. Forward variable selection for sparse ultra-high dimensional varying coefficient models Journal of the American Statistical Association doi: / Cheng M. -Y. Honda T. and Li J. Efficient estimation in semivarying coefficient models for longitudinal/clustered data The Annlas of Statistics 44(5) doi: /15-aos Otani T. * Noma H. Nishino J. Matsui K. and Matsui S. A comparison of multiple testing methods for effective strategies in genome-wide association studies XXVIIIth International Biometric Conference Victoria Canada Oura T. * Matsui K. and Matsui S. Cancer outlier analysis based on a nested two-way clustering XXVIIIth International Biometric Conference Victoria Canada * Stage III DNAACTS-CC * * * Boroevich K. GWAS * Ishikawa T. Uetake H. Murotani K. Kobunai T. Ishiguro M. Matsui S. and Sugihara K. Genome-wide DNA copy-number analysis in ACTS-CC trial of adjuvant chemotherapy for stage III colonic cancer Anticancer Research 36(3) Nishikimi M. Matsuda N. Matsui K. Takahashi K. Ejima T. Liu K. Ogura T. Higashi M. Umino H. Makishi G. Numaguchi A. Matsushima S. Tokuyama H. Nakamura M. and Matsui S. CAST: a new score for early prediction of neurological outcomes after cardiac arrest before therapeutic hypothermia with high accuracy Intensive Care Medicine 42(12) doi: /s ( (B)) ( ) ( ) 134

138 8 S ( ) * P ( (B)) ( ) ( ) Shalom Schwartz Manabe K. * Using facet theory in cross-cultural value research International Association for Cross-Cultural Psychology Manabe K. The International Encyclopedia of Political Communication (Value WILEY Blackwell U.S.A. Volume * * Maruo K. Yamabe T. and Yamaguchi Y. Statistical simulation based on right skewed distributions Computational Statistics doi: /s

139 * * Yamagata Y. and Maruyama H. (Eds.) Urban Resilience: A Transformative Approach Springer (MRG8) FPGA * Recent trends in HPC architecture and the Monte Carlo Methods in the million-core era HPCCON * Oracle BigData Analytics * (ROIS) * HR * Phoa F. K. H. H * H Mizukami Y. Mizutani Y. Honda K. Suzuki S. and Nakano J. Evaluating human networks of author s affiliation info and co-author info in scientific literature by using centralities 22nd International Conference on Computational Statistics Book of Abstracts Mizukami Y. Honda K. Suzuki S. and Nakano J. A study of the degree of cooperation between researcher s disciplines - measuring fusion degree of different fields of individual ROIS institutes - 2nd ISM High Performance Computing Conference proceedings IR (ROIS)

140 Mizukami Y. Honda K. Suzuki S. Nakano J. and Otabe A. Co-author information and authors affiliation information in scientific literature using centralities International Journal of the Japan Association for Management Systems 8(1) CD-ROM ( ) ( ) ( ) * (missing data missing value) Miyamoto M. Predicting default for Japanese SMEs with robust logistic regression International Conference on Business and Social Sciences (ICBSS2016) ( (B)) ( ) ( ) 137

141 * * * * * * * * * R&DPM * * Causal effect of replacement into newly refrigerator on electricity consumption in household * (3) ( ( ))

142 ( (C)) ( ) ( ) ( (A)) ( ) ( ) ( ) ( ) 24 (JINSE) ( ) smart community simmulated annealing graph clustering Yamagata Y. * and Murakami D. Spatially-explicit resilience modeling for PV electricity supply-demand balance International Conference on Applied Energy (2014 ) (2015 ) Yoshida N. * Asymptotic expansion and estimation of volatility Stochastic Analysis and Statistics Yoshida N. * Quasi likelihood analysis and limit order book modeling Statistical methods for dynamical stochastic models DYNSTOCH Yoshida N. * Statistics for stochastic processes: inferential and probabilistic aspects The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting

143 Yoshida N. * Point processes and limit order book modeling World Congress in Probability and Statistics Yoshida N. * Asymptotic expansion of variations Stochastic Analysis and Statistics Yoshida N. * Recent developments in asymptotic expansion for non-ergodic systems Advances in Statistics for Random Processes Yoshida N. * Martingale expansion revisited Stochastic Analysis and Statistics Yoshida N. * Applications of the quasi-likelihood analysis for point processes to high frequency 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016) Yoshida N. * Applications of the quasi likelihood analysis to point processes ASC2017: Asymptotic Statistics and Computations Yoshida N. * Limit order book modeling and quasi likelihood analysis Workshop on Stochastic Models Statistics and Their Applications Kimura A. and Yoshida N. Estimation of correlation between latent processes Advanced Modelling in Mathematical Finance: In Honour of Ernst Eberlein Yoshida N. Asymptotic expansions for stochastic processes Rabi N. Bhattacharya: Selected Papers Clinet S. and Yoshida N. Statistical inference for ergodic point processes and application to Limit Order Book Stochastic Processes and Their Applications on-line 1-40 doi: /j.spa Muni T. I. and Yoshida N. Modelling intensities of order flows in a limit order book Quantitative Finance on-line Podolskij M. and Yoshida N. Edgeworth expansion for functionals of continuous diffusion processes Annals of Applied Probability 26(6) We are developing statistical methods to analyze genome data over treespaces using geodesics namely (1) clustering gene trees over treespaces (2) inferences on missing leaves of gene trees using regression on treespaces. Yoshida R. Fukumizu K. and Vogiatzis C. Multi loci phylogenetic analysis with gene tree clustering Appear in Annals of Operations Research 1-21 doi: /s Japan conference ( )

144 JAFEE t Yoshiba T. * Tsuchida N. and Watanabe T. The intraday market liquidity of Japanese government bond futures 2016 International Workshop on Spatial and Temporal Modeling from Statistical Machine Learning and Engineering perspectives (STM2016) CDS CVA 28 Financial Modeling and Analysis Yoshiba T. * Adachi T. and Sueshige T. Distribution function for cumulative intensity of SSRJD and its applications to CVA of CDS Computational Financial Econometrics * * IT * IT * IT * OR 141

145 * * Ohashi K. * Oguma Y. and Watanabe M. An proposal that measure relationship between walking and body composition IMPS2016 Asheville * * * * * * * * * * * SGH SG * SSH * * * * * * * * * Ishizaki K. * and Watanabe M. Online lecture of statistics for distance learner at OUJ ICT Adaptation for Teaching Statistics Seoul Korea

146 * SSH * * * ( ) * ICT MR) 54(1) ( A)) ( ) ( ) ( 178A04 ) ( ) ( ) ( C)) ( ) ( ) 2016 TQE ( )

147 ( ) Nomura S. * and Ogata Y. Spatial distribution of the coefficient of variation and Bayesian forecast for the Paleo-earthquakes in Japan European Geosciences Union (EGU) General Assembly 2016 Vienna Austria * * M * * 2016 M * M * * Testing the Coulomb stress triggering hypothesis for great subduction earthquakes using abundant focal mechanisms * * Enescu B. Impact of automatic catalog quality on real-time aftershock forecasting Strader A. E. * Ogata Y. Hirata N. Tsuruoka H. and Schorlemmer D. Resolving stress singularities: a retrospective Japan rate-and-state earthquake forecast * 3D spatial models for seismicity beneath Kanto region * Some development on predicting earthquake swarms using volumetric strain records * * 2016 (M7.3) * * * * Enescu B. Hi-net * * M

148 * * Models for seismic activity beneath the Greater Tokyo Area Waseda International Symposium * * 2016 (M6.6) Ogata Y. * Probability forecasts based on multiple seismicity anomalies: Case of the M7.3 Kumamoto earthquake of Fall Meeting of the American Geophysical Union (AGU) San Francisco U.S.A Han P. * Zhuang J. Hattori K. and Ogata Y. An interdisciplinary approach for earthquake modelling and forecasting 2016 Fall Meeting of the American Geophysical Union (AGU) San Francisco U.S.A Nomura S. * and Ogata Y. Real-time mainshock forecast by statistical discrimination of foreshock clusters 2016 Fall Meeting of the American Geophysical Union (AGU) San Francisco U.S.A Kumazawa T. * Ogata Y. and Tsuruoka H. Statistical monitoring of the seismic activities before and after the Kumamoto earthquakes 2016 Fall Meeting of the American Geophysical Union (AGU) San Francisco U.S.A * * * 3 (A) * (A) Ogata Y. * Katsura K. Tsuruoka H. and Hirata N. Predicting seismic activity beneath the Greater Tokyo Area 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Tsuruoka H. * and Ogata Y. Development of seismicity analysis software: XETAS 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Strader A. * Ogata Y. Hirata N. Tsuruoka H. and Schorlemmer D. Resolving stress singularities: a retrospective Japan rate-and-state aftershock forecast 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Kumazawa T. * Ogata Y. and Tsuruoka H. Statistical monitoring of the seismicity before and after the Kumamoto earthquakes 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Han P. * Zhuang J. Hattori K. and Ogata Y. Preliminary study of earthquake models incorporating seismo-electromagnetic data 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Nomura S. * and Ogata Y. Statistical discrimination of foreshocks and real-time mainshock forecasting 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Omi T. * Ogata Y. Shiomi K. Enescu B. Sawazaki K. and Aihara K. Feasibility of automatic real-time aftershock forecasting in Japan 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Ogata Y. * Towards the implementation of the probability forecast of large earthquakes 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand Shcherbakov R. * Zhuang J. and Ogata Y. The magnitude of the extreme aftershock 10th International Workshop on Statistical Seismology (StatSei10) Wellington New Zealand * Forecasting of a large earthquake - An outlook of the research Waseda International Symposium Kumazawa T. Ogata Y. Kimura K. Maeda K. and Kobayashi A. Background rates of swarm earthquakes that are synchronized with volumetric strain changes Earth and Planetary Science Letters doi: /j.epsl

149 M M M Nomura S. Ogata Y. Uchida N. and Matsu ura M. Spatiotemporal variations of interplate slip rates in northeast Japan inverted from recurrence intervals of repeating earthquakes Geophysical Journal International 208(1) doi: /gji/ggw Omi T. Ogata Y. Shiomi K. Enescu B. Sawazaki K. and Aihara K. Automatic aftershock forecasting: A test using real-time seismicity data in Japan Bulletin of the Seismological Society of America 106(6) doi: / ( (A)) ETAS 3 ETAS ( (A)) ( ) ( ) 2016 American Geophysical Union Fall Meeting (2016 ) ( ) 10th International Workshop on Statistical Seismology (StatSei10)( 10 ) ( ) * p2gg4c1 (II) * Areal random sequential packings 10th International Congress-Festival Symmetry: Art and Science Adelaide Australia * Poisson Voronoi Cell Areal random sequential packings Symmetry: Art and Science 2016/

150 * Risk profiles for severe mental health problem: Classification and regression tree analysis COMPSTAT2016 Oviedo Spain * * SN ( (A)) () ( ) ( ) ( (B)) ( ) ( ) * * * * Kurakawa K. * and Baba Y. Tensor based relational learning for the author name disambiguation 5th German-Japanese Symposium Günzburg Germany (2) ( ) ( ) 5th German-Japanese Symposium ( ) 147

151 ( 2016 ) th International Workshop on Analysis of Micro Data of Official Statistics ( ) Ogura T. * and Yanagimoto T. Combining evidences from multiple binary matched-pairs data using a Bayesian approach ICSB 37th Annual Conference Birmingham United Kingdom * * Lindley Yanagimoto T. * and Ogura T. Dual Bayesian estimators of the incidence probability of a rare event 23rd Australian Statistical Conference Canberra Australia * * * Ogura T. and Yanagimoto T. Improving and extending the McNemar test using the Bayesian method Statististics in Medicine Ogura T. and Yanagimoto T. Powerful test of two proportions by assuming a registered prior density Communication in Statististics - Simulation and Computation 45(6) ( (C)) Australia ( ) 148

152 , Hawkes ETAS II 149

153 Relationship Between Term Structure of Local Currency Sovereign Bond Yield and Term Structure of Sovereign CDS Spread DNA Performance evaluation of HPC and Big Data applications on supercomputers and clouds / 150

154 Zhang Mingzi

155 Hwang Hsien-kuei Aademia Sinica University of York Langevin X 152

156 NIRS University of Kiel Beijing University Dado Julie Mae Borejon GPS-TEC

157 van de Velden Michel Erasmus University Rotterdam LI JI YAO Music information processing using Deep Learning methods Markov Konstantin Petrov 154

158 ESP VOYAGE GROUP

159 Hodoscek Bor PM Lu Xiaolei Eulerian Discrete PCA Savage Patrick Evan lambda-coalescent model 156

160 IDI Goh Eng Lim Silicon Graphics International Corp. Silicon Graphics International Corp Koch Thorsten Konrad-Zuse- Zentrum fur Informationstechnik Berlin (ZIB) Konrad-Zuse-Zentrum fur Informationstechnik Berlin (ZIB) GIS

161 Razafindrabe Bam Haja Cheung Stephane Ling Wai

162 St. Jude Children's Research Hospital GWAS SNS 159

163 Razafindrabe Bam Haja University of Bristol University of Bristol

164 Frederick Kin Hing Phoa Institute of statistical Science Loughborough University R 161

165 COM-ONE Trung Kien Tran NEC NPO NEC GeoGebra SABAU Vasile Sorin

166 NEC UBS

167

168 / /JAXA / / /IMV 2016 International Workshop on Spatial Temporal Modeling from Statistical Machine Learning and Engineering Perspectives STM2016 Gareth W. Peters University College London ANU-UC-ISM Joint Symposium on Environmental Statistics Alan Welsh ANU Shuangzhe Liu University of Canberra Yoshinori Kawasaki ISM Kenichiro Shimatani ISM Kunio Shimizu ISM ISM-ZIB-IMI Joint Workshop on Optimization and Data-Intensive High-Performance Computing Thorsten Koch ZIB Technische Universität Berlin TU Berlin ZIB 165

169 T Stephen R. Porter North Carolina State Univ. Ribeiro Numo University of Evora Dinis Cati University of Evora Valverde Pedro University of Evora 2017 Workshop on Probabilistic Graphical Models PGM2017 Song Liu MoU Mathew Ames Gareth W. Peters University College London Francois Septier Telecom Lille Mathew Ames Gareth W. Peters University College London Pavel V. S Macquarie University Francois Septier Telecom Lille Mario V. Wüthrich ETH Zurich Guillaume Bagnarosa ESC-Rennes 166

170 Cloud Computing for Education and Research in Japan 4th International IBM Cloud Academy Conference IR 28 3 IR rd SAS Global Forum Frederick Kin Hing Phoa th International IBM Cloud Academy Conference ISC High Performance COMPSTAT SC MOU Oracle Lab RA 2 H.28 RA AOSSA ISM High Performance Computing Conference 2016 ISM HPCCON H.28 4 IR IR R H

171

172 Ames Matthew Christopher NICT JSTCREST CREST Wu Stephen JST CREST 85 B

173 Lambard Guillaume NOE JST CREST HSC JSTCREST J J

174 CIP Clinical Trial Dou Xiaoling B

175 Markov Konstantin Skewed Kalman filter

176 ISSAS SINTEF Infocomm University College London UCL NTNU KSS Toyota Technological Institute at Chicago Australian National University RiskLab ETH Zurich Institut de Recherche en Composants logiciel et materiel pour l'information et la Communication Avancee IRCICA Centre de Rechereche en Informatique Signal et Automatique de Lille CRIStAL

177 University College London UCL The Chancellor masters and Scholars of the University of Oxford Forest Inventory and Planning Institute of Vietnam The University of Porto Zuse Institute Berlin Natinonal University of Laos Siew Hai-Yen Ulitzsch Esther Freie University Department of Psychological Methodology Student Research Assistant Doi Jimmy California Polytechnic State University Professor R Shiny Yasui Nikolaus McGill University Student Carnegie Mellon University Student Macrina Andrea King s College London Lecturer Chan Jennifer The University of Sydney Senior Lecturer Chien Jen-Tzung National Chiao Tung University Professor Clavier Laurent Institut Mines TELECOM Professor Egan Malcolm Université Blaise Pascal Resercher Ames Matthew University College London PhD Researcher

178 Azzaoui Nourddine Université Blaise Pascal Associate Professor Zhou Shiyong Peking University Professor Bagnarosa Guillaume ESC Rennes School of Business Assistant professor Nevat Ido Institute for Infocom Research Team Leader Zaremba Anna University College London PhD Student Toczydlowska Dorota University College London Associate Phd Student Pratiwi HasihSebelas Maret University Statistics study Program Lecturer RespatiwulanSebelas Maret University Statistics study Program Lecturer National Central University Institute of Statistics Distinguished Professor 罗 National Central University Institute of Statistics PhD student Ma Xiaokai The Chinese Academy of Science Institute of Botany Postdoctoral fellow Otago Univeristy PHD student DTM Carnegie Institute for Science Visiting Investigator Harte David Shamus GNS Science Statistical Seismologist and Hazard Modeller SenGupta Ashis Indian Statistical Institute Professor Spodarev Evgeny Ulm University Professor Pewsey Arthur University of Extremadura Associate Professor Peking University School of Earth and Space Sciences PhD student Peking University School of Earth and Space Sciences Professor Lee Kwangmin Seoul National University Department of Statistics Graduate Student Lee Youngseon Seoul National University Department of Statistics Graduate Student Park Hoyoung Seoul National University Department of Statistics Graduate Student 175

179 Jitkrittum Wittawat UCL Gatsby Computational Neuroscience Unit PhD Student Norton Mathew University of Florida PhD Buffered AUC Mafusalov Alexander University of Florida PhD bpoe Virginia Polytechnic Institute and State University Associate Professor Institute of Geophysics China Earthquake Administration Research Professor Institute of Geophysics China Earthquake Administration Research Professor Leguey IgnacioUniversidad Politécnica de Madrid Ibrahim Adriana Irawati Nur Binti University of Malaya Institute of Mathematica Sciences Senior Lecturer Othman Wan Ainun Binti Mior University of Malaya Institute of Mathematica Sciences Head Assoc. Prof 婷 Otago University Senior Lecturer STM2016&CSM GCP workshop Joint International Symposium By Japan Korea and Taiwan - Sustainable Forest Ecosystem Management in Rapidly Changing World th International Workshop on Analysis of Micro Data of Official Statistics

180 6 ANU-UC-ISM Joint Symposium on Environmental Statistics Canberra 7 International Workshop on Marketing Science and Service Research ISM-ZIB-IMI Joint Workshop on Optimization and Data-intensive High Performance Computing CREST Probabilistic Graphical Model Workshop: Structure Sparsity and High-dimensionality RIKEN International Symposium on Data Assimilation Simulations Encounter with Data Science - Data Assimilation Emulators Rare Events and Design International Symposium FORMATH HIROSHIMA S

181 9 Vol.68(2016) No Vol.69(2017) No Springer 2 Online Editorial Board Executive Editor Chief Editor Co-editors Associate Editors 38 Vol. 68 No. 3 Second-order asymptotic comparison of the MLE and MCLE of a natural parameter for a truncated exponential family of distributions... Masafumi Akahira 469 Bootstrapping sample quantiles of discrete data... Carsten Jentsch and Anne Leucht 491 A general sequential fixed-accuracy confidence interval estimation methodology for a positive parameter: Illustrations using health and safety data... Swarnali Banerjee and Nitis Mukhopadhyay 541 Decision-theoretic issues in heterogeneity variance estimation... Andrew L. Rukhin 571 Influence diagnostics for robust P-splines using scale mixture of normal distributions... Felipe Osorio 589 Parameter change test for autoregressive conditional duration models... Sangyeol Lee and Haejune Oh 621 Inference in a model of successive failures with shape-adjusted hazard rates... Stefan Bedbur Marco Burkschat and Udo Kamps 639 Optimality of pairwise blocked definitive screening designs... Yaping Wang Mingyao Ai and Kang Li 659 Optimal restricted quadratic estimator of integrated volatility... Liang-Ching Lin and Meihui Guo 673 Vol. 68 No. 4 Best equivariant estimator of regression coefficients in a seemingly unrelated regression model with known correlation matrix... Hiroshi Kurata and Shun Matsuura 705 Parameter estimation for a generalized semiparametric model with repeated measurements... Shujie Ma Zijian Huang and Chih-Ling Tsai

182 Convergence of empirical spectral distributions of large dimensional quaternion sample covariance matrices... Huiqin Li Zhi Dong Bai and Jiang Hu 765 Approximate theory-aided robust efficient factorial fractions under baseline parametrization... Rahul Mukerjee and S. Huda 787 Regression analysis of biased case-control data... Palash Ghosh and Anup Dewanji 805 Smooth backfitting in additive inverse regression... Nicolai Bissantz Holger Dette Thimo Hildebrandt and Kathrin Bissantz 827 Competing risks data analysis under the accelerated failure time model with missing cause of failure... Ming Zheng Renxin Lin and Wen Yu 855 Bayesian model selection for a linear model with grouped covariates... Xiaoyi Min and Dongchu Sun 877 Summary statistics for inhomogeneous marked point processes... O. Cronie and M.N.M. van Lieshout 905 Vol. 68 No. 5 Testing the constancy of Spearman's rho in multivariate time series... Ivan Kojadinovic Jean-Francois Quessy and Tom Rohmer 929 Testing for uniform stochastic ordering via empirical likelihood... Hammou El Barmi and Ian W. McKeague 955 Robust estimation of generalized partially linear model for longitudinal data with dropouts... Guoyou Qin Zhongyi Zhu and Wing K. Fung 977 Accelerated failure time model with quantile information... Mu Zhao Yixin Wang and Yong Zhou 1001 Antithetic sampling for sequential Monte Carlo methods with application to state-space models... Svetlana Bizjajeva and Jimmy Olsson 1025 On monotonicity of expected values of some run-related distributions... Sigeo Aki and Katuomi Hirano 1055 Semiparametric inference for an accelerated failure time model with dependent truncation... Takeshi Emura and Weijing Wang 1073 Jackknife empirical likelihood for linear transformation models with right censoring... Hanfang Yang Shen Liu and Yichuan Zhao 1095 Spline-based semiparametric estimation of a zero-inflated Poisson regression single-index model... Minggen Lu and Chin-Shang Li 1111 Kernel regression with Weibull-type tails... Tertius de Wet Yuri Goegebeur Armelle Guillou and Michael Osmann 1135 Vol. 69 No. 1 Extreme sizes in Gibbs-type exchangeable random partitions... Shuhei Mano 1 Efficient ANOVA for directional data... Christophe Ley Yvik Swan and Thomas Verdebout

183 Conditional sure independence screening by conditional marginal empirical likelihood... Qinqin Hu and Lu Lin 63 Generalized varying coefficient partially linear measurement errors models... Jun Zhang Zhenghui Feng Peirong Xu and Hua Liang 97 Strong consistency of wavelet estimators for errors-in-variables regression model... Huijun Guo and Youming Liu 121 Composite change point estimation for bent line quantile regression... Liwen Zhang Huixia Judy Wang and Zhongyi Zhu 145 Penalized estimation equation for an extended single-index model... Yongjin Li Qingzhao Zhang and Qihua Wang 169 Nonparametric estimation of a conditional density... Ann-Kathrin Bott and Michael Kohler 189 On the Simes inequality in elliptical models... Taras Bodnar and Thorsten Dickhaus 215 Faster exact distributions of pattern statistics through sequential elimination of states... Donald E. K. Martin and Laurent Noe 231 Vol. 69 No. 2 A consistent jackknife empirical likelihood test for distribution functions... Xiaohui Liu Qihua Wang and Yi Liu 249 U-statistics with conditional kernels for incomplete data models... Ao Yuan Mihai Giurcanu George Luta and Ming T. Tan 271 Median-based estimation of the intensity of a spatial point process... Jean-Francois Coeurjolly 303 An approximation to the information matrix of exponential family finite mixtures... Andrew M. Raim Nagaraj K. Neerchal and Jorge G. Morel 333 On testing the equality of high dimensional mean vectors with unequal covariance matrices... Jiang Hu Zhidong Bai Chen Wang and Wei Wang 365 Is the Brownian bridge a good noise model on the boundary of a circle?... Giacomo Aletti and Matteo Ruffini 389 Lower and upper bounds on the variances of spacings... Pawel Marcin Kozyra and Tomasz Rychlik 417 Measuring asymmetry and testing symmetry... Christopher Partlett and Prakash Patil 429 A class of new tail index estimators... Vygantas Paulauskas and Marijus Vaiciulis 461 Number of appearances of events in random sequences: A new generating function approach to Type II and Type III runs... Yong Kong

184 Online [ ] 3 [ ] 23 [ ] 39 [ ] 59 - [ ] 77 SPOT5/HRG [ ] 93 [ ] 105 [ ] [ ] 145 [ ] 161 [ ] 179 [ ] Douglas Roland

185 [ ] No Online No No Takashi Nakamura Ryozo Yoshino Tadahiko Maeda Yusuke Inagaki Kiyohisa Shibai A Study of the Japanese National Character: The Thirteenth Nationwide Survey 2013 English Edition No No Online No.1196: Ono Y. Whitman J. Applying Multiple Correspondence Analysis to Non-Word Order Features Reveals Areal and Genetic Grouping in Linguistic Typology No.1197: Pedroso P. Ikeda S. Maximum-expectation matching under recourse No.1198: No.1199: Mano S. The A-hypergeometric system of associated with the rational normal curve and statistical inference of exchangeable combinatorial structures No.1200: Ishiwata G. Teaching Plan "Basic Statistics" Under the Quarter System in University Education No.1201: Kondo F. Akter S. Yoshida R. Development of a Hierarchical Model on Service Quality by Structural Equation Model in Bayesian Approach Considering Misspecification on Reflective and Formative Dimensions 182

186 No.1202: Otani T. Noma H. Nishino J. and Matsui S. Re-assessment of Multiple Testing Strategies for More Efficient Genome-wide Association Studies No.1203: Yanagimoto T. Ogura T. Estimation of the Binomial Incidence Probability Through the $e$-optimum Predictor with its Extensions ISM Reports on Statistical Computing 28 No No

187 No.373 No No No No No No No No No ESP No No No No No No No No No GeoGebra 2 No No

188 Multiple Imputation PC-BSD A GIS STAN DC Markov Robert Shcherbakov Statistics and physics of aftershocks Counterfactual based prevented fractions Michel van de Velden Inverse multiple correspondence analysis Stephen Wu C Generalized distillation framework Variable selection and structure identification for varying coefficient Cox models

189 Evgeny Spodarev An inverse problem in the theory of infinitely divisible random fields Mathias Drton A Bayesian information criterion for singular models Effective search for masked explanatory variables in linear regression Recent development on learning sparse changes between graphical models Chao Projection smoothing for stochastic dynamical systems DNA IBM Watson Watson IBM Watson 186

190 Semi-parametric estimates of the long-term background trend periodicity and clustering effect in crime data R STAN CULMAN PC-BSD 0 187

191 Counterfactual based Prevented Fraction DNA A Variety of distributions with asymptotically logarithmic truncated mean A reconsideration of mathematical statistics Wu Stephen Quantitative analysis for whole brain images of Caenorhabditis Elegans: A machine learning approach WEB Estimating posterior ratio for classification: Transfer learning from probabilistic perspective X MAXI Cascading failures by fluctuating loads in scale-free networks 188

192 AIC Solving previously unsolvable MIP instances on supercomputers Statistical analysis of ULF seismo-electromagnetic phenomena in Kanto Japan - LGD i-vector Multiple Imputation WBIC Minimum Spanning Tree 96 Local kernel dimensional reduction in Approximate Bayesian Computations Malago Luigi Shinshu University Second-order information geometry of Hessian manifolds Ng Michael Kwok-Po Hong Kong Baptist University Multiple graphs clustering Graczyk Piotr Université d'angers Wishart and Riesz distributions on cones related to graphical model

193 Strader Anne GFZ German Research Centre for Geosciences Evaluation of current CSEP testing methods: Case studies for Japan and California Shcherbakov Robert Western University The statistics and physics of aftershocks Tseng George C. University of Pittsburgh Adaptively weighted meta-analysis in -omics applications Houle Michael E. NII An extreme-value-theoretic foundation for similarity applications Chen Yuh-Ing National Central University Statistical evaluation of short-term hazard of earthquakes after 1999 M 7.3 Chi-Chi shock in Taiwan Jagodzinski Wolfgang Pratiwi Hasih Sebelas Maret University ESTIMATING EARTHQUAKE RISK BY USING EPIDEMIC TYPE AFTERSHOCK SEQUENCE MODEL APPROACH Case Study in Java Island Indonesia Helmstetter Agnès CNRS Adaptive smoothing of seismicity in time space and magnitude for long-term and short-term earthquake forecasts Bag-of-Words Blondel Mathieu NTT Communication Science Laboratories Higher-Order Factorization Machines Helmstetter Agnès CNRS Repeating icequakes Web / / Xing Eric CMU Strategies & principles for distributed machine learning Mascagni Michael Florida State University An introduction to Brownian motion Wiener measure and partial differential equations Mascagni Michael Florida State University Reproducibility in Stochastic Simulation Hirose Yuichi Victoria University of Wellington Profile likelihood approach to a large sample distribution of estimators in joint mixture model of survival and longitudinal ordered data eigenvector spatial filtering Zhou Shiyong Peking University Could the abnormal seismicity increase triggered remotely by great earthquakes be used to judge the regional earthquake risk? Park Hoyoung Seoul National University Nonparametric density estimation for symbolic data Lee Kwangmin Seoul National University Tutorial and problems of recommender system Lee Youngseon Seoul National University Bayesian curve fitting and function clustering by the linear combination of arbitrary shaped function Price Leah Queensland University of Technology Advances in sequential Monte Carlo and likelihood free methods Kim Sunyoung Ewha W. University Polynomial optimization and conic programming relaxation ,

194 , Peters Jonas University of Copenhagen Invariances and causality Welsh Alan The Australian National University The effect of the working correlation on fitting models to longitudinal data Norton Matthew University of Florida New approaches to binary classification using risk management and robust optimization Mafusalov Alexander University of Florida Risk averse distribution approximation : Ducout Anne University of Tokyo Primordial universe constraints using Minkowski functionals and persistence Jiang Chang-Sheng Institute of Geophysics Assessment of earthquake monitoring capability and score of seismic station detection capability in China Seismic Network 2008~

195 Biostatistics

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197 B C. Hadoop R D E F. E G H J

198 K M N P S TKP

199 MU NTT JT

200 TADA X X SBU R&D LIXIL R&D NHK

201 IMV NHK

202 28 SU OA JADSM KIKUCHI Award 2016, Tomitaka S. Kawasaki Y. Ide K. Akutagawa M. Yamada H. Ono Y. and Furukawa T.A. Pattern analysis of total item score and item response of the Kessler Screening Scale for Psychological Distress K6 in a nationally representative sample of US adults PeerJ 5 e Tomitaka S. Kawasaki Y. Ide K. Akutagawa M. Yamada H. Furukawa T.A. and Ono Y. Relationship between Item Responses of Negative Affect Items and the Distribution of the Sum of the Item Scores in the General Population PloS one 11 e Tomitaka S. Kawasaki Y. Ide K. Akutagawa M. Yamada H. Furukawa T.A. and Ono Y. Boundary curves of individual items in the distribution of total depressive symptom scores approximate an exponential pattern in a general population PeerJ 4 e Igarashi Y. Frequency of mandibular tori in prehistoric and historic Japanese island populations Quaternary International 405 Part B Igarashi Y. Yoshida S. and Kanazawa E. The prevalence and morphological types of non-carious cervical lesions NCCL in a contemporary sample of people Odontology doi: /s y 199

203 NHK NEWS WEB H H H H H H H H Ben Cooper Oxford University Aronrag Meeyai Mahidol University Jonathan Read Lancaster University Yoko Ibuka Keio University Akira Endo The University of Tokyo Keisuke Ejima University of Alabama Birmingham Masaya Saitoh Institute of Statistical Mathematics Kenji Mizumoto Hokkaido University Nao Yamamoto Hokkaido University and University of British Columbia Toshikazu Kuniya Kobe University Naoki Masuda University of Bristol 200

204 Akira Sasaki Sokendai University Yusuke Asai Hokkaido University Shinji Nakaoka The University of Tokyo Takehisa Yamamoto National Institute of Animal Health Ryota Matsuyama Hokkaido University Hisashi Inaba The University of Tokyo Tomoki Nakaya Ritsumeikan University Kimihito Ito Hokkaido University Kyeongah Nah Hokkaido University Toshiyuki Tsutsui National Institute of Animal Health Gouhei Tanaka The University of Tokyo Shingo Iwami Kyushu University Hiroshi Nishiura Hokkaido University Mitsuo Uchida Shinshu University Yusuke Kakizoe Kyushu University Ryo Kinoshita Hokkaido University Shouhei Takeuchi Miyazaki University Jimmy Doi Web Application Tools for Statistics Using R and Shiny X

205 ebook Web DVD

206

207 Annals of the Institute of Statistical Mathematics AISM Activity Report Twitter 204

208 2016/5/ /6/ /7/ /9/14 HPC2016 ISM HPCCON /10/ /11/ /12/22 IR Institutional Research 2017/1/ MI^ JST F A F A 205

209 : I M I 6F F I I204 J J E

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212 (4) (2) TKP

213 12 コンピュータ 図書 コンピュータ 近年の計算機 ネットワーク センサーなどの技術の発達により 大量のデータが継続的に取得 流通 蓄 積されるようになっている そのようなビッグデータからの知識発見の基盤として統計学を含むデータ科学の 重要性が広く認知されてきた ビッグデータの効果的な利用は科学技術革新の鍵を握ると考えられており 理 論科学 実験科学 計算科学に続く第 4 の科学としてデータ中心科学が推進されている このような状況に鑑 み 統計数理研究所は平成 26 年度に 3 台の異なるタイプの大型計算機システムを新しく稼働させた それら は共有メモリ型と分散メモリ型の 2 台のスーパーコンピュータシステムと 1 台のクラウドシステムである こ の 3 台のシステムはその愛称を一般から公募したが その結果 統計数理研究所元所長故赤池弘次先生の業績 である赤池情報量規準にも因み それぞれ A I C と名付けられた この構成によりユーザーの様々な利用目 的に応じて柔軟な計算資源の提供が可能となった 1. データ同化スーパーコンピュータシステム A A は シングルシステムとして世界最大の 64TB の主メモリを搭載した SGI 社製共有メモリ型スーパーコン ピュータ SGI UV 2000 を中核するシステムである 本システムの中心は 2 台の UV 2000 であり 合計で 5120 コア 10 コア CPU である Intel Xeon E を 512 個 メモリ容量 128TB 外部ディスク容量 816TB 理論 性能値 98.3TFLOPS という共有メモリ型としてはこれまでにない規模のスーパーコンピュータシステムである A の半分の計算資源は 全国の主要な大学 研究機関が保有するスーパーコンピュータを高速ネットワーク で結んだ共同計算環境である 革新的ハイパフォーマンス コンピューティング インフラ High Performance Computing Infrastructure HPCI へ 大学共同利用機関としては初めて資源提供されている 図１ 210 データ同化スーパーコンピュータシステム A

214 2. 統計科学スーパーコンピュータシステム I I は 分散メモリ型のスーパーコンピュータである SGI 社製 ICE X を中心に物理乱数発生装置や大規模共 有ストレージシステムなどから構成される ICE X は 512 台の計算ノードと 24 台のテストノードで構成され ており 12 コア CPU Intel Xeon E5-2697v2 を 2 個搭載した主記憶 128GB のノード 400 台と 12 コア CPU Intel Xeon E5-2680v3 を 2 個搭載した主記憶 128GB のノード 136 台からなる また 536 ノードのうち計算アクセラ レータ(Intel Xeon Phi)つきのノードが 96 ノードである 合計で コア 主記憶容量 100TB 外部ディス ク容量 2.5PB 理論性能値 336TFLOPS のシステムである 物理乱数発生装置は秒間 528MB の発生速度を持つ 3 台のサーバで構成されている そして可視化表示のために 3D 表示できる 4K の 200 インチスクリーンとプ ロジェクタも備えられている 図２ 統計科学スーパーコンピュータシステムⅠ 3. 共用クラウド計算システム C C は 69 台の Dell 社製サーバ PowerEdge R620 を中心として構成される 合計で 1380 コア 10 コア CPU である Intel Xeon E5-2680v2 を 138 個 メモリ容量 16.4TB 外部ディスク容量 364TB 理論性能値 28.7TFLOPS を有する クラウドミドルウェアとして CloudStack を導入し 統計解析のための仮想環境を利用者に提供する この仮想環境はマルチノード構成となっており 利用者は最大で 4 コア 32GB のメモリの仮想ノードを 8 台 並列で利用することができる 並列計算に対応した R や Hadoop Mahout などのデータ解析のためのソフト ウェアがあらかじめ利用しやすい形で提供されることが特徴である また 外部公開用サーバなど 研究支援 のための仮想環境も提供している 211

215 図３ 共同クラウド計算システム C 4. 利用可能なソフトウェア 所内で利用できる商用ソフトウェアとして Mathematica MATLAB SAS S-PLUS SPSS Spotfire RapidMiner などが導入されている これらのソフトウェアは 個人の端末で実行したり 各階入出力室に設置されている 高性能端末装置 リモートから利用可能なアプリケーションサーバーで利用したりできる また 高度に並列 化された R もスーパーコンピュータシステム A や I で利用できる 5. ネットワーク 所内情報網については 研究所の移転に合わせ平成 21 年 3 月より立川新研究棟において新規に認証ネット ワークの構築を開始し 移転完了の平成 21 年 10 月より本格運用が始まった その後統計科学スーパーコンピ ュータシステム I の導入に伴い機器のリプレースを行った 各研究室に複数配置された 1000BASE-T の情報コ ンセントは 10GBASE-SR の幹線を持つ各階あたり数台のフロアスイッチに分散接続され障害に配慮した設計 となっている これらの有線 LAN は IEEE a,b,g,n,ac をサポートした無線 LAN とともに認証ネットワー クを通して提供されている また平成 26 年 9 月に 世界各国の大学等高等教育機関の間でキャンパス無線 LAN の相互利用を実現するローミングサービスである Eduroam に参加した 所内情報網は SINET を経由してインターネットと接続され 国内外のサイトに対して高速通信が可能とな っている 平成 28 年 2 月からは SINET5 ノードに更新されている 6. 所内開発ソフトウェアの公開 統計数理研究所では最新の統計科学の理論的成果を実用化するための新しいプログラムの開発を行ってお り それらは所外からでもいろいろな手段で利用可能である 表 1 人気の高い TIMSAC や CATDAP に関 しては FORTRAN77 に完全準拠するように改編されており Windows 上で稼働するシステム Web 上で稼働 するシステム 統計解析システム R のパッケージなどを提供している 例えば 図 4 は Timsac for R package 使用時の画面のハードコピーであり 季節調整や時系列解析を R 上で行うことができる なお プログラム提 供に関しては統計科学技術センター kks@ism.ac.jp にお問い合わせいただきたい 212

216 プログラム名 説明など アクセス TIMSAC TIMSAC for Windows TIMSAC72 AR AR Windows TIMSAC for R package TIMSAC R Web Decomp Web ml Ardock TIMSAC84: Statistical Analysis of Series of Events (TIMSAC84-SASE) Version 2 BAYSEA CATDAP CATDAP for Windows TIMSAC CATDAP Windows smlib/ /ssg_softwares.html kks@ism.ac.jp kks@ism.ac.jp kks@ism.ac.jp CATDAP for R package CATDAP R QUANT kks@ism.ac.jp 213

217 DALL Jasp Jasplot プログラム名説明などアクセス Statistical Analysis of Seismicity - updated version (SASeis2006) SAPP NScluster CloCK-TiME TSSS iqspr Davindon Java Java R R Web R R smlib/ /ssg_softwares.html er/ ME/index.html ckages/iqspr/index.html 214

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